Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

As a Software Engineer – ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle.

Your future role within QRT:

• Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines.
• Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling).
• Build and improve automation around packaging, configuration, and environment reproducibility.
• Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments.
• Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability.
• Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed.
• Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability.
• Create and maintain detailed documentation of system architecture, deployment processes, configurations, and support procedures.
• Stay updated with the latest technologies and best practices in software development, DevOps, and production operations.

Your present skill set:

• Proficiency in Python and strong knowledge of software engineering best practices (testing, code review, design, maintainability).
• Strong experience in software development, system integration, and automation.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their integration services.
• Strong understanding of IT infrastructure, networking, and security principles.
• Experience with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes).
• Solid understanding of production operations: monitoring/alerting, incident troubleshooting, performance tuning, and reliability practices.
• Knowledge of data management and database systems.
• Excellent problem-solving abilities and a proactive mindset.
• Strong written and oral communication (English and French), able to explain complex issues to non-technical users.
• Independent and collaborative team worker.
• Passionate about technology and its potential to transform industries and user experiences.
• Enjoys working in a collaborative environment and building relationships with team members.
• Organized, detail-oriented, and committed to delivering high-quality solutions.
• Flexible and adaptable, able to handle the dynamic nature of project requirements and timelines.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will work on the HPC Research Platform, building and evolving an in-house research platform that provides efficient, secure access to compute and data for research teams across the organisation. The focus is on enabling the execution of large-scale compute pipelines by developing the services and tools that underpin job submission, scheduling, security, and observability across a range of environments. You will collaborate closely with Quantitative Researchers as well as engineering and infrastructure stakeholders to deliver a platform that supports computational research at scale.

Your Future Role Within QRT 

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 

• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 

• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 

• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 

• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 

• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skill Set 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 

• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 

• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 

• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 

• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 

• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 

• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 

• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Programme duration: 6 months, starting in 2026.   

Who qualifies: Final year students completing a Bachelor's, Master's.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

As a Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.

Your present skillset  

• Strong Python skills, with experience building reliable and maintainable systems.

• Solid software engineering fundamentals, including APIs, testing, and modular design.

• Experience working with data pipelines and experimentation workflows.

• Excellent communication skills - you will interact directly with Traders and Researchers.  

• Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.

• Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.

Preferred qualifications (a plus): 

• Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).

• Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).

• Exposure to distributed systems, parallel computing, or GPU-based workloads.
• Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
• Interest in model evaluation, robustness, and real-world performance of machine learning systems.

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

Are you a future intern passionate about unraveling complex challenges within the ever-evolving and exciting field of credential security? If so, join Dashlane internship program and shape the future of security!

About the role:

As an intern as Dashlane, you will be part of the Analysis & Contextual Experience team. You will work on the AI Data Loss Prevention (DLP) project, a pioneering industry solution that creates a frictionless security layer for tools like ChatGPT or Gemini. Your work will involve building smart redaction to automatically tokenize PII and secrets in prompts, while developing a seamless workflow that re-injects real data into AI responses to ensure enterprise security and regulatory compliance without compromising the user experience. You will tackle these software engineering challenges in close collaboration with our team of Software and Machine Learning engineers.

Location:

You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

At Dashlane you will:

Work on the improvements and maintenance of our machine learning supply chain to build models embedded inside a web extension. This will imply:

• Improving internal tools to collect and label data. Participate to create a GUI for automatic labelling of data
• Improve visibility and accessibility on data used to train our ML models
• Help to structure raw data extracted from the web into structured data ready for training
• Explore AI deployment in the context of a web extension with it's own security and performance specifications (ex: Zero-knowledge architecture)

Requirements:

• You are studying Computer Science, Software Engineering, Software Security or similar 
• You are looking for an end of studies internship
• You have experience* with GitHub, Gitlab or similar 
• You have experience* with Typescript/Javascript.
• You have a strong interest in security topics and in AI
• You are fluent in English (written and verbal) 

*This experience can be academic, personal projects, etc. Make sure to refer to them in your CV!

We're Also Looking For:

• Have a solid foundation in computer science, with strong competencies in data structures, algorithms and software design
• Strong interest in security and AI topics
• Able to take an HTML & CSS web page and extract information to structure it and store it. 
• Someone technically flexible that can intervene in various subjects (Server, Front, CI)
  • We do not require a deep knowledge of each subject, more an ability to work on the different side without being lost 

What Dashlane offers you:

• Company wide well-being days (one per quarter)
• Team building & social events - weekly lunch in the office and monthly happy hour
• The chance to learn and grow in an international environment, a dynamic office, and a team full of experts keen to collaborate
• ...and the opportunity to convert the internship into a permanent position if it goes well!

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Paris or Béthune, France. 

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.

L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.

Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.

MACHINE LEARNING ENGINEER - ALTERNANCE

Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.

Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.

Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.

TES MISSIONS

Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.

Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.

• Tu contribueras aux projets existants comme tous les membres de l’équipe.
• Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
• Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
• Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
• Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.

Tu auras l’opportunité de :

• Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
• Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
• Expliquer l’utilisation de la data et sa valeur ajoutée.

TON ENVIRONNEMENT TECHNIQUE

• Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

À propos du poste

Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.

Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.

En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.

Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et

de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.

En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un

marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.

Responsabilités :

• Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
• Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
• Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
• Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
• Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
• Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
• Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
• Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
• Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
• Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales

Profil recherché :

• Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
• Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
• Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
• Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
• Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
• Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
• Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
• Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
• Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
• Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
• (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. 

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. 

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs 
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
• Fluency in French, bonus if you also have Spanish or Italian as another language

L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.

PRÉSENTATION DE L'ÉQUIPE

Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon.  Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.

TA FUTURE CONTRIBUTION

En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data. 

Tes missions principales incluront :

• Conception & Développement : Participer à l'industrialisation des pipelines de données et de Machine Learning (training et inférence).

• Mise en production (MLOps) : déployer des modèles via Docker et Kubernetes et assurer l'intégration continue (CI/CD) pour garantir la stabilité de nos services.
• Optimisation : Contribuer à l'amélioration de la qualité du code (testing, refactoring) et à l'optimisation des performances algorithmiques.

• Monitoring : Mettre en place et suivre les indicateurs de performance des modèles en production (Drift detection, MLflow).

CE QUE TU APPORTES

• Tu prépares un diplôme de niveau Master (École d'Ingénieur ou Université) avec une spécialisation en Data Science ou Machine Learning.

• Tu as une première expérience (projet académique ou stage) en manipulation de données et modélisation.
• Tu es reconnu·e pour ta curiosité technique, ton esprit d'analyse et ton envie d'apprendre au sein d'un environnement technologique de pointe.

STACK TECHNIQUE

• Langages : Python (expert), SQL.
• ML/Ops : MLflow, Docker, Kubernetes, CI/CD (exemple : GitHub Actions).
• Data : Spark, Pandas, Scikit-learn, PyTorch/TensorFlow.

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

The Impact You’ll Be Contributing to Moloco: 

Moloco's Commerce Media (MCM) organisation powers Retail Media Platforms for retailers globally, enabling them to build and scale advertising businesses powered by machine learning. As customer count and technical complexity grow, we are evolving our support model to deliver faster, deeper, and more scalable technical expertise.

The Technical Solutions Engineer (TSE) is a newly established role at the heart of this evolution. The TSE serves as the Regional Tier 2/3 technical escalation point — taking ownership of complex issues escalated from Frontline Support Specialists (FSS) and driving them to resolution. Beyond firefighting, the TSE plays a foundational role in building the operational infrastructure of our support organisation: designing playbooks, developing automation tools, and establishing the metrics that measure how effectively we serve our customers.

The Opportunity

• Own Tier 2/3 technical escalations from Frontline Support Specialists (FSS), triaging and resolving complex issues across ad serving, data pipelines, and ML infrastructure.
• Perform structured Root Cause Analysis (RCA) on production issues — including campaign delivery failures, budget pacing anomalies, fill rate degradation, and ROAS fluctuations — using service logs and operational metrics.
• Lead incident response for production ads service disruptions: scoping impact, coordinating with internal engineering teams (Ad Serving, Data Platform, ML), and driving toward resolution within SLA.
• Author postmortem documents and track remediation action items to prevent recurrence.
• Build and maintain diagnostic playbooks and runbooks that enable FSS to self-resolve a growing share of issues over time.
• Develop internal tooling and automation scripts for issue detection, diagnosis, and reporting.
• Define and track operational KPIs — including MTTR, escalation rate, and recurrence rate — to continuously measure and improve support efficiency.
• Partner closely with the Customer Engineering team to ensure smooth issue handoffs, shared customer context, and aligned escalation workflows.
• Contribute to internal and external documentation to scale knowledge across the organization.
• Review technical integrations during new platform onboarding and surface potential operational risks early.

How Do I Know if the Role is Right For Me?

• 6+ years of professional experience in technical support, solutions engineering, or software engineering.
• Strong troubleshooting skills and ability to analyze large-scale datasets — able to independently write and interpret complex queries against large-scale data warehouse environments.
• Hands-on experience with API integrations and distributed systems — including REST API debugging, log analysis, and understanding how service components interact at scale.
• Demonstrated experience handling technical escalations — breaking down complex problems methodically and driving them to resolution through a structured approach.
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Experience in AdTech or retail media domains (DSP, SSP, ad serving, attribution) is a strong plus.
• Familiarity with monitoring and observability tools such as Datadog.
• Experience as a founding member or early contributor in building new teams, systems, or operational processes (zero-to-one experience)
• Familiarity with scripting, AI tools for automation, process enhancement
• Fluent in English. Multilingual communication skills (preferred) for global support environments.

The Impact You’ll Be Contributing to Moloco: 

Moloco's Commerce Media (MCM) organisation powers Retail Media Platforms for retailers globally, enabling them to build and scale advertising businesses powered by machine learning. As customer count and technical complexity grow, we are evolving our support model to deliver faster, deeper, and more scalable technical expertise.

The Technical Solutions Engineer (TSE) is a newly established role at the heart of this evolution. The TSE serves as the Regional Tier 2/3 technical escalation point — taking ownership of complex issues escalated from Frontline Support Specialists (FSS) and driving them to resolution. Beyond firefighting, the TSE plays a foundational role in building the operational infrastructure of our support organisation: designing playbooks, developing automation tools, and establishing the metrics that measure how effectively we serve our customers.

The Opportunity

• Own Tier 2/3 technical escalations from Frontline Support Specialists (FSS), triaging and resolving complex issues across ad serving, data pipelines, and ML infrastructure.
• Perform structured Root Cause Analysis (RCA) on production issues — including campaign delivery failures, budget pacing anomalies, fill rate degradation, and ROAS fluctuations — using service logs and operational metrics.
• Lead incident response for production ads service disruptions: scoping impact, coordinating with internal engineering teams (Ad Serving, Data Platform, ML), and driving toward resolution within SLA.
• Author postmortem documents and track remediation action items to prevent recurrence.
• Build and maintain diagnostic playbooks and runbooks that enable FSS to self-resolve a growing share of issues over time.
• Develop internal tooling and automation scripts for issue detection, diagnosis, and reporting.
• Define and track operational KPIs — including MTTR, escalation rate, and recurrence rate — to continuously measure and improve support efficiency.
• Partner closely with the Customer Engineering team to ensure smooth issue handoffs, shared customer context, and aligned escalation workflows.
• Contribute to internal and external documentation to scale knowledge across the organization.
• Review technical integrations during new platform onboarding and surface potential operational risks early.

How Do I Know if the Role is Right For Me?

• 6+ years of professional experience in technical support, solutions engineering, or software engineering.
• Strong troubleshooting skills and ability to analyze large-scale datasets — able to independently write and interpret complex queries against large-scale data warehouse environments.
• Hands-on experience with API integrations and distributed systems — including REST API debugging, log analysis, and understanding how service components interact at scale.
• Demonstrated experience handling technical escalations — breaking down complex problems methodically and driving them to resolution through a structured approach.
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Experience in AdTech or retail media domains (DSP, SSP, ad serving, attribution) is a strong plus.
• Familiarity with monitoring and observability tools such as Datadog.
• Experience as a founding member or early contributor in building new teams, systems, or operational processes (zero-to-one experience)
• Familiarity with scripting, AI tools for automation, process enhancement
• Fluent in English. Multilingual communication skills (preferred) for global support environments.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously. 

We are an ambitious and committed team of software and deployment engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems today.

We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

The role

At Helsing, we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.

You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a signal processing team, where you will build in-house solutions for signal processing problems that we face, in the sky or underwater.

The day-to-day

You will develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios.

You will contribute to projects and will collaborate with people across several teams and backgrounds.

You should apply if you

• Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally

• Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• A PhD in signal processing, machine learning, robotics, communication engineering or related field and have authored publications in top-tier journals and conferences

• Experience with implementing signal processing algorithms, time frequency analysis, parameter estimation

• Experience deploying AI software to production including testing, quality assurance, and monitoring

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

• Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.

• Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.

• Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.

• Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.

• Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.

• Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.

• Familiarity with low-level motor control interfaces and real-time embedded systems constraints.

• Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. you'll be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

The day-to-day

You'll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. 

You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning. 

You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.

You should apply if you

• Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.

• Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in reinforcement learning, multi-agent systems, automation and control, robotics, or related fields and have authored publications in top-tier journals and conferences (eg, NeurIPS, ICML, ICLR, AAMAS).

• Experience with large-scale RL training.

• Experience modeling and training multi-agent controllers using state-of-the-art tools and techniques.

• Experience deploying AI software to production including testing, quality assurance, and monitoring

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. 

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc.

The day-to-day

You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios.

You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.

You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.

You should apply if you

• Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally

• Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches

• Possess solid software engineering skills, writing clean and well-structured code in Python, and experience deploying AI software to production including testing, QA, and monitoring

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in computer vision, machine learning, robotics, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)

• Experience with object detection and categorisation, single and multi-object tracking, scene understanding and matching, 3D computer vision.

• Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery

• Experience with simulators, emulators, or synthetic data generators

• Experience with Rust and/or C++

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation

Who we are

The role

At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities.

We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation.

You should apply if you

• Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.

• Possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.

• Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.

• Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.

• Have a "first-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.

• Experience training models on large-scale GPU clusters.

• Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. 

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The AI Platform team at Datadog builds the infrastructure that powers the next generation of generative AI features across our products.

As a Senior Software Engineer on the Evaluation and Annotation team, you will design and evolve the systems that define and measure AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows that assess correctness, safety, bias, and reliability across production use cases.

Your work will directly shape how Datadog ships and maintains trustworthy AI capabilities. You will partner closely with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that continuously improve model behavior.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across Datadog’s product ecosystem
• Lead efforts to build human-in-the-loop and automated annotation pipelines for model assessment, ensuring high-quality training and feedback data
• Define and implement continuous evaluation workflows in CI/CD and production environments to monitor model behavior in real time
• Analyze model outputs for correctness, bias, safety, and reliability and translate insights into actionable improvements
• Collaborate cross-functionally with Applied Scientists, Researchers, product managers, and platform engineers to establish best practices for responsible AI
• Mentor team members and contribute to long-term technical strategy focused on AI quality, trust, and safety

Who You Are:

• You have 6+ years of experience building large-scale distributed systems or machine learning systems in production environments
• You’ve designed infrastructure to support AI/ML model evaluation, annotation, or benchmarking workflows
• You approach engineering with a focus on system design, long-term maintainability, and reliability
• You bring a strong understanding of AI/ML concepts, including evaluation metrics, prompt analysis, and trust & safety challenges
• You thrive in cross-functional teams and communicate effectively with technical and non-technical stakeholders
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
• Bonus: you’ve used open-source tools like evaluation frameworks (e.g., lm-eval-harness), vector databases, or human feedback loops

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.

We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:

• Large‑scale experimentation, training, deployment, and monitoring

• Developer toolchains for agents and other GenAI applications

• Low‑latency serving infrastructure that plugs AI features into any Datadog product

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
• Create a development ecosystem that enables rapid experimentation and deployment of algorithms 
• Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams 
• Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
• You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
• You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
• You have extensive experience executing projects that span data engineering, data science, and machine learning
• You ship fast, route around blockers, and are comfortable working with ambiguity
• You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Lead a fast-growing organization around 20 people across 2 teams soon to be 3. 

• You will define the roadmap for your scope and work with ICs and managers to establish the technical direction

• Collaborate with the engineering team and product manager to define the future of the roadmap

• Create a strong organizational culture centered around our engineering standards and customer- focused approach

• Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring

Who You Are: 

• You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. 

• An experienced engineer and team player with strong technical skills to influence the technical direction of your teams

• A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers

• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity.

• You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous professional development, product training, and career pathing

• Intradepartmental mentor and buddy program for in-house networking

• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

• Access to Inclusion Talks, our Internal panel discussions

• Free, global mental health benefits for employees and dependents age 6+

• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
• Stay at the forefront of foundation models, world models, and RL-based agent research
• Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Who You Are:

• You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
• You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
• You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
• You are familiar with efficient training, post-training, and inference techniques for large foundation models
• You can explain complex models and research findings to both technical and non-technical audiences

Bonus Points (any of the following):

• Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• Experience writing production data pipelines and applications
• Hands-on experience with GPU programming and optimization, including CUDA

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-Hybrid

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
• Implement models, run experiments at scale, and profile for reliability, performance, and cost
• Build simulation environments and replay infrastructure for agent training and evaluation
• Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
• Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity
• Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services
• Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts

Who You Are:

• You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus
• You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure
• You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration
• You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding)
• You can explain design and performance trade-offs clearly to both technical and non-technical audiences
• You have experience supporting or contributing to research publications

Bonus Points (any of the following):

• You have strong software engineering skills with experience in domains such as observability, SRE, or security
• You have experience bridging research prototypes and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• You have hands-on experience with GPU programming and optimization, including CUDA
• You have experience writing production data pipelines and applications
• You have experience building simulation or sandbox environments for agent training

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Opportunity

We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.

What You'll Be Doing

As a Biology Data Quality Engineer, you will own the following tasks:

• Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). Ensure data integrity, consistency, and accuracy through rigorous quality checks. Design and implement automated data quality pipelines to streamline data validation and identify potential issues early in the data processing workflow.
• Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. Curate datasets to enhance their usability for machine learning.
• Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical stakeholders. Communicate and synchronize with external data providers.
• Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. Generate regular reports on data quality metrics and trends.
• Data Source Evaluation: Evaluate and validate external public data sources, ensuring they meet our quality standards and are suitable for inclusion in our foundation model training.
• Continuous Improvement: Stay up-to-date with the latest data quality best practices and tools in the biological domain. Propose and implement improvements to our data- quality assessment processes and pipelines.

What You'll Bring

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.

• Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
• Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
• Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
• Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
• Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
• Educational Background: MSc in Biology, Computational Biology, Bioinformatics.

How to Stand Out:

• Computational Pathology Data Expertise: Experience in machine learning analysis of histology images.
• Cloud expertise: Experience working with AWS.
• Data Annotation Experience: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
• Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
• Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)

The Candidate Journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
2. Technical Assessment: Given the technical nature of the role, you will be expected to complete a short set of Python exercises in a dedicated platform to assess your proficiency.
3. Interviews:
   • Data Curation Project: The hiring team will have an introductory call with you to share expectations for the role and to provide you with a Data Curation assignment. This assignment covers one or more key data modalities and consists of the submission of Python code and a detailed report about your work. You will get to present your work to the team, and have an interview to explore your knowledge on data modalities and relevant technical artefacts.
   • Team Fit: The hiring team will have a call with you to discuss your motivations, expectations for the role, and an overall Q&A based on your CV and previous experiences.
4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

Why This is a Unique Opportunity

• Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
• Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
• Work in a collaborative, innovation-driven environment with top researchers and industry experts.
  
  

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role:

We are looking for a MLOps / Infrastructure Engineer to join the MSA (Mail Security & Anti-abuse) team and support the operation and evolution of our machine learning anti-abuse systems.
MSA is a multidisciplinary group created in 2019 to tackle complex problems in mail delivery, spam prevention, abuse detection, and account security across the Proton ecosystem. Our systems combine human expertise and machine learning to make tens of millions of decisions daily, protecting users from spam, fraud, account compromise, and large-scale attacks.
Today, our focus areas include:

• Mail delivery and spam protection
• Abuse detection and account security
• Site reliability across Proton services
• New products such as Wallet and Lumo

Our systems have reduced spam misclassifications by over 60%, blocked millions of abusive signups, protected hundreds of thousands of users from account compromise, and mitigated hundreds of large-scale attacks.
To move fast with limited resources, we operate as autonomous teams owning systems end-to-end across infrastructure, backend, data, ML, and operations. In just a few years, we have grown from 2 to over 60 engineers and analysts across three continents, providing 24/7 protection to millions of users.
We are looking for humble, mission-driven engineers who enjoy learning, improving systems, and making a real-world impact.
This role is ideal for someone early in their career who wants to build strong foundations in infrastructure, automation, and production ML systems. You will work closely with experienced engineers to deploy, monitor, and maintain critical services that run 24/7 and protect millions of Proton users.

What you will do:

As an MLOps / Infrastructure Engineer, you will contribute to the reliable operation and continuous improvement of systems protecting millions of Proton users.

• Assist in maintaining the operational stability of machine learning and anti-abuse systems running 24/7
• Support deployment and maintenance of services and infrastructure under guidance from senior engineers
• Help implement and improve logging, monitoring, and alerting for production systems
• Participate in debugging and resolving production incidents with team support
• Contribute to CI/CD pipelines and deployment automation workflows
• Assist in deploying and maintaining containerized services using Docker and related tools
• Support infrastructure automation efforts through scripting and configuration management
• Document operational procedures and deployment processes
• Gradually take ownership of infrastructure components and improvements as experience grows

Job requirements:

• Experience with Linux system fundamentals (command line, systemd, troubleshooting)
• Proficiency in scripting languages (Bash and Python)
• Familiarity with Docker and containerization concepts
• Basic understanding of CI/CD pipelines and automated deployments
• Basic familiarity with databases such as MySQL or similar systems
• Experience with Git and collaborative development workflows
• Strong problem-solving mindset and ability to work and learn in a fast-paced global team
• Willingness to participate in on-call rotations after initial ramp-up
• Strong communication skills in English (written and verbal)

• Hands-on experience with Ansible, Puppet, or similar configuration management tools
• Familiarity with data processing and workflow orchestration tools (Airflow, Dask)
• Experience deploying services to production environments (personal projects count)
• Exposure to monitoring and observability tools (Prometheus, Grafana, ELK)
• Basic understanding of machine learning workflows or data pipelines
• Familiarity with Terraform, Kubernetes, or cloud infrastructure platforms

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.
•  

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

À propos du poste

En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme.

Responsabilités

• Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes.
• Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement
• Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions.
• Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires.

Profil recherché

• Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique
• Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.
  
  

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

À propos du poste

En tant que membre de l'équipe d'IA appliquée chez Anthropic, vous serez un·e architecte avant-vente dont l'objectif est de devenir un conseiller technique de confiance qui aidera les grandes entreprises à comprendre la valeur de Claude et à définir leur vision de la manière dont elles peuvent intégrer et déployer Claude avec succès dans leur infrastructure technologique. Vous combinerez votre expertise technique approfondie avec des compétences en contact avec la clientèle pour concevoir des solutions LLM innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées en matière de sécurité et de fiabilité.

En étroite collaboration avec nos équipes de ventes, de produits et d'ingénierie, vous guiderez les clients depuis la découverte technique initiale jusqu'à la réussite du déploiement. Vous mettrez à profit votre expertise pour aider les clients à comprendre les capacités de Claude, à développer des évaluations et à concevoir des architectures évolutives qui maximisent la valeur de nos systèmes d'IA.

Responsabilités :

• Travailler en partenariat avec les responsables de comptes pour comprendre en profondeur les besoins des clients et les traduire en solutions techniques, en veillant à l'adéquation entre les objectifs commerciaux et la mise en œuvre technique
• Agir en tant que conseiller·ère technique principal·e auprès des entreprises clientes tout au long de leur parcours d'adoption de Claude, de la découverte à l'évaluation initiale en passant par le déploiement. Vous devrez assurer la coordination interne entre plusieurs équipes et parties prenantes pour assurer la réussite des clients
• Assister les clients qui développent des projets avec l'API Claude et Claude pour le travail
• Créer et diffuser un contenu technique convaincant adapté à différents publics. Vous devrez être capable d'aller de l'approfondissement technique pour les équipes de développement et à des conversations axées sur la valeur commerciale avec les dirigeants.
• Guider les décisions d'architecture technique et aider les clients à intégrer efficacement Claude dans leur infrastructure technologique existante.
• Aider les clients à élaborer des cadres d'évaluation pour mesurer les performances de Claude dans leurs cas d'utilisation spécifiques.
• Identifier les modèles d'intégration courants et apporter des perspectives à nos équipes Produit et Ingénierie.
• Se rendre occasionnellement sur les sites des clients pour des ateliers, des approfondissements techniques et l'établissement de relations
• Maintenir une connaissance approfondie des derniers développements en matière de capacités LLM et de modèles de mise en œuvre

Profil recherché :

• Plus de 5 ans d'expérience dans des postes techniques en contact avec les clients, tels qu'architecte de solutions, ingénieur commercial ou responsable de compte technique
• Expérience de travail avec des entreprises clientes, dans le cadre de cycles d'achat complexes impliquant de multiples parties prenantes
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en communication technique avec la capacité de traduire les exigences des clients entre les parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• À l'aise avec Python
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Excellentes compétences en matière de communication et de relations interpersonnelles, capables de transmettre des sujets complexes en termes facilement compréhensibles à un ensemble varié de parties prenantes externes et internes. Vous aimez collaborer avec d'autres organisations, faire des compromis et équilibrer des priorités concurrentes.
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.

Date limite de candidature : Aucune. Les candidatures seront examinées au fur et à mesure de leur réception.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native French speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

What you’ll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Machine Learning Engineer, you'll play a critical role in developing and implementing cutting-edge AI solutions that will simplify the access and quality of care for all.

In this role, you'll have the opportunity to work with a team of talented ML Engineers, Software Engineers, MLOps and Healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.

You will work at simplifying how patients find their healthcare practitioner, handle their care plan in the long term and work with business team to contribute expansion of Doctolib in several new markets.

Doctolib is looking for a Machine Learning Engineer to join our ML Engineering team in charge of our patient solutions.

Your responsibilities include but are not limited to:

• Find the right technical solution to solve the product domain goals
• Implement your ideas and test them
• Deploy your algorithms in production guided by our ML platform team
• Measure the uplift and continuously improve your approach 

Who you are

You could be our next team mate if you: 

• Have strong analytical skills, are result oriented and user first
• Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale.
• Have experience in Information Retrieval and modern retrieval stacks, including some of the following:
  • Hybrid search (sparse + dense)
  • Large-scale embeddings and vector databases 
  • Multi-stage retrieval and re-ranking pipelines
  • RAG architectures and retrieval pipelines on multimodal use cases
  • Tools and MCP-based integrations to bring in external data and capabilities
• Proficient in LLM/VLM application development, including:
  • Fine-tuning LLM and VLM models
  • Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden)
  • Knowledge Distillation 
  • Prompt engineering and tool use
  • Evaluation and benchmarking of LLM/VLM systems
• Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK).
• Have demonstrated strong scientific rigor and benchmarking skills:
  
  • Designing metrics aligned with product goals,
  • Running controlled end to end experiments with W&B, MLFlow or Braintrust
  • Analyzing and communicating results to guide product and technical decisions.
• Have experience with large scale applications in production (monitoring, reliability, performance, observability).

Now, it would be fantastic if you: 

• Have experience in B2C marketplace.
• Have experience in other ML methodologies : pattern mining, recommendation, experimentation or causal inference.

What we offer

• Free health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class 
• Lunch voucher with Swile card

The interview process 

• HR Screen
• Coding Interview
• System Design Interview
• Behavioral Interview
• Two reference calls and criminal records check 

Job details

• Permanent position 
• Full Time
• Location: Doctolib Paris office in Levallois Perret
• Work mode: Hybrid 3 days/week in the office
• Start date: ASAP

How you'll make an impact

You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.

Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.

If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!

What you’ll be doing

• Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.
• Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.
• Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.
• Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
• Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)
• Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
• At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
• Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
• Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

• Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
• Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.
• Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
• Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

• 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
• 3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)
• Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.
• Ability to engage with business leaders and influence decisions
• Proven ability to influence cross-functional teams without formal authority

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering