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Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.
CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.
The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.
Responsibilities:
Qualifications:
Compensation and Benefits:
Additional Perks:
Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.
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We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.
About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.
Key Responsibilities:
Required Skills & Qualifications
Benefits:
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Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
This is a hybrid role (3 days in office / 2 days remote).
About Your Team:
Shape the Future of Market Integrity at Interactive Brokers.
Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem.
What will be your responsibilities within IBKR:
Which skills are required:
Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems.
Good to haves:
To be successful in this position, you will have the following:
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About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
WPP steht für kreative Transformation. Mit der Kraft von Kreativität gestalten wir eine bessere Zukunft für unsere Mitarbeitenden, unsere Kunden, unsere Gemeinschaften und unseren Planeten. Genau hier setzt WPP Media an: Als globales Mediennetzwerk von WPP vereinen wir die besten Plattformen, Talente und Partner, um in einer vernetzten Medienwelt neue Chancen für grenzenloses Wachstum zu schaffen.
Als Associate Director Data Science (Mensch) gestaltest du nicht nur die Zukunft unserer datengestützten Lösungen, sondern führst und entwickelst auch ein hochqualifiziertes Team von Data Scientists. Du bist die treibende Kraft hinter unserer Innovationsagenda und stellst sicher, dass wir durch datengetriebene Ansätze den maximalen Wert für unsere Kunden generieren und unsere Marktposition weiter ausbauen.
Darüber hinaus bist du: #selbständig #teamfähig #lösungsorientiert
Wenn du diesen Job spannend findest, dann ermutigen wir dich ausdrücklich zur Bewerbung, auch wenn du nicht jede oben gelistete Qualifikation aufweisen kannst.
Als WPP Media gestalten wir die Zukunft der Medien und investieren dabei konsequent in unsere Mitarbeiter:innen. Jede:r Kolleg:in genießt die Vorteile des globalen Netzwerks von WPP Media und WPP, um sich weiterzuentwickeln und an der Spitze von Marketing und Werbung zu lernen. Vielfalt und Zusammenhalt leben wir durch zahlreiche Employee Resource Groups und regelmäßige interne Events - zum Austausch, zur Inspiration und zum gemeinsamen Feiern unserer Erfolge.
WPP Media ist ein Arbeitgeber, der Chancengleichheit fördert. Wir berücksichtigen alle Bewerber:innen für alle Positionen ohne Diskriminierung. Unser Ziel ist eine Kultur des Respekts und der Zugehörigkeit, in der jede:r die gleichen Möglichkeiten hat, sich einzubringen und beruflich zu wachsen.
Bitte lies unsere Datenschutzerklärung für Deutschland, Österreich und die Schweiz, um weitere Informationen darüber zu erhalten, wie wir die von dir bereitgestellten Daten verarbeiten.
Please read our Privacy Notice for more information on how we process the information you provide.
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Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.
You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office.
You Will:
Model and Pipeline Automation
Governance & Compliance
Performance Monitoring
Cross-Functional Collaboration
Architecture and Infrastructure Management
You Have:
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
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Data Analytics Team Lead
Our organization is highly regarded as the industry leader in providing physical therapy/rehabilitation outpatient services. We have an immediate opening for a Data Analytics Team Lead. We offer a very comprehensive benefit package including Medical, Dental and Vision Insurance, Life Insurance, 401k retirement plan with a company match, generous paid time off (PTO), and much more.
Team Size: 4–6 (Analysts, Data Engineers, BI Developers)
Location(s): 100% remote. Preferred locations are Nashville - Chattanooga, TN or greater DFW area, TX.
We are seeking a strategic and investigative Data Analytics Team Lead to accelerate our journey from reporting to predictive and prescriptive intelligence - unlocking insights that improve patient outcomes, optimize clinic performance, and fuel enterprise growth. Someone who goes beyond the problem and is passionate about identifying and resolving the root case.
You will own Upstream’s enterprise data, analytics, and AI strategy, leading a high-impact team to deliver actionable intelligence across clinical, operational, financial, and patient experience domains. This is a player-coach role: you’ll architect solutions, mentor talent, and translate complex data into executive ready narratives - all while driving measurable ROI.
The successful candidate will have a thorough working knowledge and understanding of every aspect of Upstream's business operations. They will create dashboards and reports that transform raw data generated by various sources into actionable information that decision makers need to successfully perform their daily duties. Refined social and communication skills are required that enable effective collaboration with business executives, managers, stakeholders, and subject matter experts, regardless of their level of expertise or technical skills. They must be able to play multiple roles, including architect, report developer, metadata modeler, SQL programmer, and end-user trainer and mentor.
Success looks like:
DUTIES AND RESPONSIBILITIES:
The Data Analytics Team Lead will be responsible for:
Strategy & Vision
Team Leadership & Culture
Delivery & Execution
Innovation & Experimentation
REQUIRED EXPERIENCE & SKILLS
Nice-to-Have
EDUCATION
Bachelors in computer science, MIS, Statistics, or related field. Equivalent experience accepted.
TRAVEL REQUIREMENTS:
Occasional travel to other offices, third-party vendors, or educational conferences may be required.
Preferred System Experience: Raintree, Waystar, Excel, MS Dynamics, Azure Data Factory, APIs, Azure Data Lake Gen2, Fabric Lakehouse, Databricks, Synapse Analytics, dbt, Power BI, Fabric AI,
Azure ML, Copilot
JOIN US!
If you’re a strategic builder who geeks out on turning rehab data into revenue and lives changed, let’s talk.
Follow @Lifeatupstream on Instagram, and check out our LinkedIn company page to learn more about what it’s like to be part of the #upstreamfamily.
CLICK HERE TO LEARN EVEN MORE ABOUT UPSTREAM
Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.
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Joignez-vous à Levio, un leader de la transformation numérique, et propulsez votre carrière vers de nouveaux sommets. Vous travaillerez aux côtés de professionnels de haut calibre sur des projets technologiques ambitieux et de grande envergure, directement intégrés dans les environnements de nos clients. Chez Levio, nous valorisons l’expertise, la curiosité et l’amélioration continue et nous vous offrons l’espace nécessaire pour évoluer.
Nous sommes à la recherche d'un Conseiller ML/IA pour concevoir, développer, déployer et exploiter des systèmes d’apprentissage automatique et d’IA générative de niveau production. Ce rôle couvre l’ensemble du cycle de vie des solutions ML, en veillant à ce que les modèles et services d’IA soient scalables, fiables, sécurisés et qu’ils génèrent une valeur d’affaires mesurable.
Levio offre un programme d’avantages sociaux complet et flexible conçu pour soutenir votre développement professionnel et votre bien-être personnel, incluant :
Équité en emploi
Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap.
Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.
Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.
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Já se imaginou trabalhando em uma empresa que tem como missão transformar a vida das pessoas?
Se você é guerreiro, então essa é a sua chance de entrar em um exército que está crescendo e pronto para mudar a saúde do Brasil!
Nós da Vitta somos responsáveis pela vertical de saúde e seguros do Grupo Stone Co. empresa listada em Nasdaq, em NYC. Somos apaixonados por pessoas e inovação. Temos um chamado! Se você quer ter um impacto significativo na saúde do Brasil e ao mesmo tempo aprender muito e fazer parte de um time de altíssimo nível, queremos te conhecer!
Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:
⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.
🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.
🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.
🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.
💚The Reason: O cliente não tem razão, ele é a razão. Nos motivamos a enxergar o impacto do nosso trabalho na vida do cliente, é vendo que melhoramos a vida dele que sabemos que fizemos uma boa entrega.
Estamos em busca de um(a) Cientista de Dados Sênior com perfil consultivo e forte capacidade de liderança técnica para atuar na condução de projetos estratégicos de dados. Essa pessoa será responsável por traduzir problemas de negócio em soluções analíticas, liderar iniciativas ponta a ponta e atuar como ponte entre áreas técnicas e stakeholders. Mais do que construir modelos, esperamos alguém que consiga estruturar problemas, influenciar decisões e garantir que os projetos gerem impacto real no negócio.
Responsabilidades:
🩺 Plano de Saúde e Odontológico
🏥 Hospital Digital: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia, 7 dias por semana, de forma rápida e prática
🥗 Vale Refeição e/ou Vale Alimentação - Flash
💪 Gympass/Wellhub
👶 Auxílio Creche - para crianças até 5 anos e 11 meses
🐶 Auxílio Pet
🌴 Férias&CO
🌼 DayOff de aniversário e DayOff de aniversário do filho de até 11 anos
💙 Seguro de Vida
🚗Vale Transporte (exclusivo para vagas presenciais)
✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!
📞Entrevistas com o time de People: Este é o momento de nos conhecermos! Você terá um papo inicial com nosso time de recrutamento, com o objetivo de conhecer nossa cultura, estrutura e o desafio que está sendo proposto.
🎯Avaliação Técnica: Nesta etapa vamos nos aprofundar nas suas hard skills! Geralmente essa avaliação é composta por dois papos ou um papo mais o desafio, com o objetivo de avaliar habilidades e competências técnicas específicas para a vaga. Além de te apresentar possíveis pares e liderança.
✅Check de Cultura: Nossa cultura é muito importante e está sempre presente no dia a dia! Aqui, você terá um papo com uma das nossas pessoas guardiãs da cultura, com o objetivo de nos conhecer e garantir que nossas crenças, nosso jeito de pensar e nossa visão de futuro estão alinhadas com o que você acredita e busca vivenciar.
🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.
E aí? Curtiu? Então, não deixa de se inscrever e #VemSerVitta 💙🚀
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The Data Platforms Health team builds native platform solutions that enable healthcare-specific platform capabilities. This development role in the Database Platforms department will contribute to AI-based features and workflows within the InterSystems Health Connect Cloud, InterSystems FHIR Server, InterSystems IRIS for Health and InterSystems Health Connect products.
The team needs a developer who can drive AI model and AI architecture design and development for intelligent tooling features for healthcare builders and administrators. The team also needs thought leadership to adopt evolving AI technologies so that InterSystems can be a leader in AI-driven features and workflows.
You are encouraged to apply if this role sounds interesting to you, even if you have doubts about being a competitive candidate. InterSystems prides itself on investing in its team members.
This position is in the InterSystems headquarters in Boston, MA.
Responsibilities
You will design, build, train, and deploy machine learning and agentic AI models, and consume LLMs and custom models using REST APIs. Working with product management and support specialists, you will design and implement data cleansing and feature extraction tools to improve the accuracy of predictions and data generation for a healthcare setting. Your responsibilities will include integrating the models into existing products and refining the models to meet evolving product needs.
All work must follow the team’s development workflow including use of source control, design and code reviews, and clear documentation. You are responsible for the quality of your code and must design automated tests to verify the effectiveness of the models and features.
This role will require you to respond to technical questions about expected product behavior and recommended best practices from support specialists and sales engineers. You will also collaborate with the release engineering team to ensure that your model and tools are appropriately deployed in cloud and on-prem environments.
The technology stack includes Python, AWS Bedrock, ObjectScript, and InterSystems IRIS.
As a leader, you are expected to create project plans with estimates, track execution against the plan, and proactively communicate anticipated delays in the project. With support from your manager, you will coordinate with other teams and overcome blockers and inter-team misalignments to deliver your projects. You will also provide thought leadership in the areas of Gen AI, agentic AI, and other evolving technologies, and encourage other team members to adopt these technologies for the platform.
Qualifications Required
Preferred Qualifications
We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including:
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems.
What You'll Do :
Nice-to-Haves
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.
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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.
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.
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 auras l’opportunité de :
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) :
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.
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.
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.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
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At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.
Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.
You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for agentic vision tools. You will be responsible for the design, implementation and deployment of production-ready computer vision models that support game developers in our ecosystem (including scene generation and trained bots/agents), as well as agents for automated content verification (e.g. gameplay behavior).
Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.
Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.
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Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
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Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
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Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.
The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI services are scalable, reliable, secure, and deliver measurable business value. The role will be remote.
The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate.
Estimated salary range: $110,000 to $150,000 per year.
This posting is a current hiring need.
Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:
Position Details
Notice on the Use of Artificial Intelligence in Recruitment
We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter.
Employment Equity
Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.
We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.
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Are you looking to thrive in a stimulating work environment?
Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.
The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate.
Estimated salary range: $100,000 to $140,000 per year.
This posting is a current hiring need.
Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:
Position Details
Notice on the Use of Artificial Intelligence in Recruitment
We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter.
Employment Equity
Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.
We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.
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MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.
We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.
You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.
You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.
You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.
As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.
We are a distributed team; stretching from our offices in Dublin and NYC to other locations in Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263289662
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MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.
We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.
You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.
You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.
You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.
As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.
This role can be based out of our Dublin office or remotely in Ireland.
We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.
We are a distributed team; stretching from our offices in Dublin and NYC to other locations in Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263289662
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Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.
A day in the life (Responsibilities)
What you'll need to thrive (Requirements)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.
Job Responsibilities:
Required Qualifications:
A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid
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STR’s Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.
The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.
The Role:
As a Senior Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will develop cutting edge AI/ML algorithms for novel application domains and modalities, participate on project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.
Who you are:
Even better:
Pay Information
Full-Time Salary Range: $139,000 - $165,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
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BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.
WHAT YOU'LL BE DOING
Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience.
To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
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Location: San Francisco, CA (Hybrid)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance.
Key Responsibilities
What We're Looking For (Minimum Qualifications)
What Will Make You Standout (Preferred Qualifications)
What Makes Verse a Great Place to Work?
Base Pay Range
$146,000 - $172,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks
Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
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Location: San Francisco (Hybrid in SF highly preferred, US only)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.
Key Responsibilities
What We're Looking For (Minimum Qualifications)
What Will Make You Standout (Preferred Qualifications)
What Makes Verse a Great Place to Work?
Base Pay Range
$120,000 - $155,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks
Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
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Joignez-vous à Levio, un leader de la transformation numérique, et propulsez votre carrière vers de nouveaux sommets. Vous travaillerez aux côtés de professionnels de haut calibre sur des projets technologiques ambitieux et de grande envergure, directement intégrés dans les environnements de nos clients. Chez Levio, nous valorisons l’expertise, la curiosité et l’amélioration continue et nous vous offrons l’espace nécessaire pour évoluer.
Nous sommes à la recherche de Développeurs Prompt IA afin de contribuer à des projets d’envergure.
Qualifications requises
Qualifications souhaitées
Levio offre un programme d’avantages sociaux complet et flexible conçu pour soutenir votre développement professionnel et votre bien-être personnel, incluant :
Équité en emploi
Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap.
Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.
Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.
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Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Qualifications:
Bonus Points:
Benefits:
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
[Location: remote-friendly or any office location - SF, LA, CHI, NY]
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Qualifications:
Bonus Points:
Benefits:
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Qualifications:
Bonus Points:
Benefits:
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Location: US remote-friendly
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Qualifications:
Bonus Points:
Benefits:
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.
The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models with low-latency and Service Level Agreements (SLAs) guaranteed by the MLP.
We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times.
This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.
Responsibilities:
You will research, develop, and deploy infrastructure for the Machine Learning Platform at scale
You will build infrastructure to train and test algorithms that provide real-time content recommendations and personalization
You will enhance ML platform's CI/CD and integration testing capabilities
You will promote developer productivity by rolling out capabilities that maximize self-sufficiency and minimize the toil in learning those capabilities in building scalable applications with high speed, quality, and performance
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
Basic Qualifications:
2+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment
Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)
Experience working with Kubernetes, Docker, and CI/CD
Familiarity with at least one high-level programming language like Python or Go
Preferred Qualifications:
Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, Drone, Triton, TensorFlow, scikit-learn, DataDog
Experience building real-world machine learning applications like recommendation systems, bandits, etc.
Experience engaging with stakeholders to understand pain points, observe patterns, and identify opportunities for improvements
This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
REQ-019501
#LI-Hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Share this job
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The New York Times is looking for a Senior Software Engineer, with a focus on ML platform development, to join our Machine Learning & AI team to help solve creative challenges around Machine Learning infrastructure.
Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.
The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements (SLAs) guaranteed by our platform.
This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.
Responsibilities:
You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads
You will build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers
You will enhance ML platform's CI/CD and integration testing capabilities
You will build a platform that supports the full Machine Learning workflow; from model training, testing and production deployment at high scale and low latency
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
Basic Qualifications:
5+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment
Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)
Experience working with Kubernetes, Docker, and CI/CD (Drone, Argo, Jenkins, etc)
Experience leading the development of large-scale, data-driven, distributed multi-tenant systems
Proficiency with at least one high-level programming language like Python or Go
Preferred Qualifications:
Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, BigTable or other NoSQL datastores such as Cassandra, DynamoDB, Redis
Familiarity with ML tooling such as Triton, TensorFlow, scikit-learn
Experience building the infrastructure that power real-world machine learning applications like recommendation systems, bandits, etc.
Experience engaging with partners to understand pain points, observe patterns, and identify opportunities for improvements
This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
REQ-019502
#LI-hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
You believe great ML systems don't just work — they scale, they recover gracefully, and they give data scientists the confidence to iterate quickly. At Expel, you'll be a key contributor in building and maturing the infrastructure that powers our machine learning and generative AI capabilities. From end-to-end training pipelines to the specialized infrastructure behind production agentic applications, your work will directly shape how fast we can innovate and how reliably our AI systems run.
You'll work closely with senior and principal engineers, data scientists, and cross-functional teams to operationalize ML at scale. You bring strong hands-on expertise and a genuine drive to continuously improve the systems and practices around you.
Build and scale ML infrastructure
Operationalize with rigor
Collaborate and enable
Collaboration & communication
Technical depth
Education & experience
The base salary range for this role is between $142,900 USD and $207,200 USD + bonus eligibility and equity.
We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.
We’re only hiring those authorized to work in the United States.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI-Remote
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At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
SentinelOne is seeking a Software Engineer to join the Observo AI team in India, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for developing and maintaining high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers.
We're looking for someone who errs on the side of simplicity, who has a passion for craftsmanship in code, and who believes deeply in the value of testing. You should be the kind of engineer who writes tests even when nobody is watching—because you understand that quality matters. We value engineers who enjoy performance tuning, extracting the last ounce of efficiency from systems, and who are excited about working with databases, distributed systems, and open source technologies.
This role is part of the Observo AI engineering organization and offers the opportunity to work on innovative technology that directly impacts enterprise data management at scale. This is a hybrid role with 3 days in our Bengaluru office.
You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
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AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.
At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’re determined to know what makes financial markets tick – and we’ll ask every question and challenge every assumption. We recognize and respect the power of collaboration, and believe transparency and openness to new ideas leads to innovation.
The Global Stock Selection (GSS) group is responsible for the portfolio management and research of AQR's strategies relating to individual equities and equity related securities across all global liquid markets. GSS models are applied to market-neutral long/short portfolios in AQR hedge funds as well as to long-only, relaxed-constraint and low volatility portfolios for institutional equity mandates and mutual funds.
AQR Capital Management is seeking a talented Researcher to join our team of professionals and focus on our proprietary strategies related to global stock selection. Candidates should be motivated and enthusiastic about implementing new ideas and are expected to be hands-on and self-sufficient in conducting all aspects of research projects. Researchers manage all aspects of the research process including data ingestion and processing, analysis, methodology selection, implementation, testing and performance evaluation. The role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies. Your responsibilities may include, but are not limited to:
AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
The salary range for this role is expected to be $165,000 to $200,000. This is the range that we in good faith believe is accurate for this role at the time of this posting. We may ultimately pay more or less than the posted range, depending upon factors such as skills, experience, location, or other business and organizational needs. This wage range may also be modified in the future.
This job is also eligible for an annual discretionary bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
As Senior Data Scientist in the Risk and Fraud Management squad, you will be responsible for building, deploying, and maintaining machine learning models that protect HelloFresh from fraud while enabling business growth through intelligent risk assessment. You will monitor model performance for anomalies and communicate insights with stakeholders to ensure optimal impact. Your work will be crucial to prevent payment and voucher fraud at checkout, and optimize the ship & collect process for recurring customers. Hence you will have a direct impact on the company's revenue protection and customer experience goals.
In this role, you will design and implement classification, regression, and uplift models which take into account various data sources, ranging from payment transactions, customer behavior, to fraud patterns and risk signals. Your models will power both real-time predictions at checkout and offline batch inference for subscription fulfillment decisions. Additionally, you will drive experiments to measure the business impact of your models and continuously improve their performance.
To succeed in this role you will be curious, a fast learner, and someone who relentlessly prioritises problem statements and tailor the solution accordingly. You will be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team, you will jump into problem solving with others as challenges arise, and collaborate with team members.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
This service provision involves high-level consultancy for the AI Decisioning function. The objective is to provide technical expertise in optimizing the intelligence that transforms customer engagement strategies. The focus is on complex feature engineering and optimization, developing critical data features, and applying advanced analytical techniques to maximize the performance of the AI decisioning platform. These services provide predictive data and continuous optimization that allows an automated engine to determine the right message, for the right customer, at the right time, on the right channel. There is an opportunity to drive business outcomes through enhanced personalization and predictive analytics, while also providing expertise on how Generative AI can automate and scale content in an iterative process with marketing stakeholders.
Modeling & Optimization Tasks
Strategic Collaboration & Impact
Core Skillset:
Preferred Experience:
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
Ready to apply?
Apply to HelloFresh
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
Are you ready to drive a huge business impact? As a Senior Data Scientist for AdTech Search Optimization, you will be responsible for maximizing the performance of the Search channels. This work will be crucial to increase return on investment for the marketing budget. Hence, the services provided will have a direct impact on the company’s goals to drive and increase marketing efficiency.
In this capacity, the service provider will design and implement statistical and machine learning models which take into account various data sources, from internal conversion data to external ads platform data.
To succeed in this project, the provider will be a curious, fast learner, who relentlessly prioritizes problem statements and tailors solutions accordingly. Success involves suggesting multiple solutions based on professional experience and prioritizing tasks based on effort and likely impact.
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
Ready to apply?
Apply to HelloFresh
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Share this job
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Share this job
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
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L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.
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.
En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data.
Tes missions principales incluront :
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) :
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.
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.
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.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
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We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Share this job
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
Upper-intermediate
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
About Upstart
At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you.
If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.
The Team
The Machine Learning Platform team builds the foundational technology that scales machine learning innovation across Upstart. As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering—collaborating closely with Research Scientists, Data Scientists, and ML Platform Engineers to design tools and systems that accelerate model development to ultimately improve predictive accuracy. Success in this role requires deep knowledge of ML throughout the entire modeling lifecycle - from data preparation to training and deployment to production.
In this role, you will lead engineering initiatives that turn high-impact modeling needs into scalable, reusable infrastructure. This includes building a unified embeddings platform for training, serving, and managing representations at scale; streamlining feature engineering pipelines to reduce manual steps and deliver new signals quickly; developing automated continuous-learning systems that handle data refresh, retraining, evaluation, and drift monitoring with minimal manual effort; and scaling our training pipelines to support larger datasets, more complex architectures, and faster experimentation.
Across all of these efforts, you will work backward from applied ML projects that meaningfully improve accuracy—using those real-world scenarios to harden the platform capabilities that enable ML teams across Upstart to innovate with greater speed, reliability, and impact.
How You’ll Make an Impact
Your work will multiply the effectiveness of every ML team at Upstart—accelerating innovation and advancing our mission to make credit more accurate, accessible, and fair.
This is a high influence role suited for those who enjoy combining science innovation, with cross functional collaboration and advisory.
Minimum Qualifications
Preferred Qualifications
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
Ready to apply?
Apply to Upstart
About the Team
STR’s Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.
The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.
The Role
As a Lead Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities, participate on and lead project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.
Who you are:
Even better:
Pay Information
Full-Time Salary Range: $174,000 - $220,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Ready to apply?
Apply to STR
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