Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

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

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

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

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

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

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

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

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

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Type: Individual Contributor
• Languages: French (main) & english (required) 
• Location: Paris
• Contract Type: CDI

How You’ll Shape Our Story:

As a Partnership Success Coordinator, you will hold a key position, responsible for deepening existing partnerships with retailers and commercial real estate owners, in order to embed our kiosks seamlessly into their retail operations. Your role will be highly dynamic and will encompass a wide range of responsibilities:

• Ensure the satisfaction of signed clients by working closely with the Operations team
• Drive client adoption of our various tools to integrate with their retail activities: integration with loyalty programs, cross-promotions, and temporary marketing campaigns on kiosks to generate in-store traffic
• Design and launch special campaigns on the kiosks aligned with retailers’ events
• Maximize our Net Promoter Score (NPS) among clients
• Collect client feedback to inform our product roadmap and sales messaging
• Automate the above processes as much as possible 
• Identify underperforming locations and propose initiatives to increase usage, either jointly with the client or independently Business development responsibilities:
• Expand our partner network
• Identify locations where additional kiosks can be deployed and secure extension contracts on existing sites
• Turn existing clients into ambassadors to support outreach to new prospects
• Coordinate with the broader Business Development team to support the achievement of commercial growth objectives

This Is About You, Not Us 🫵🏼:

• Master’s degree (Bachelor +5) from a top Business School, Engineering School, or equivalent
• 2–3 years of professional experience, ideally in Customer Success Management within a fast-growing B2B scale-up
• Excellent written and verbal communication skills, with the ability to concisely present progress updates and potential blockers, and to clearly articulate our value proposition to clients from a commercial standpoint
• Strong organizational skills with a clear sense of priorities
• You have critical thinking and you assess situations and data efficiently, creatively and accurately
• Pragmatic and solution-oriented, able to avoid unnecessary detail and quickly identify simple, effective solutions to problems
• Strong entrepreneurial mindset, with the autonomy and independence required to make important decisions quickly 
• Rigorous and methodical, capable of analyzing the performance of initiatives and drawing clear, actionable conclusions 
• Highly comfortable with both written and spoken communication, with a strong affinity for client interaction
• Excellent stress management skills, particularly in high-pressure or tense client situations
• Strong commercial acumen, combined with creativity and a taste for challenge, enabling the proposal of innovative and relevant solutions to clients
• Ability to understand our Business Plan and key growth and profitability drivers as an investment-backed company, as well as to grasp retailers’ business models in order to propose solutions tailored to their needs
• Strong interest and enthusiasm for sustainable mobility, with the ambition to help capture a rapidly growing market through a disruptive value proposition. Experience in electric mobility is a plus; if not, we will support your ramp-up
• Fluency in English is required

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (last year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• 🚆 50% Reimbursement of navigo
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

What You Will Do

At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Staff Research Scientist, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care.

Your responsibilities include (but are not limited to):

• Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale.
• Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI.
• Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences.
• Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance.
• Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices.

Who You Are

• Technical Expertise:
• PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field; Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus;
• Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI.
• Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX).
• Familiarity with modern data tools and scalable training on large datasets.
• Innovator & Problem Solver:
• Track record of independently driving research and translating it into real-world applications.
• Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly.
• Curiosity and drive to learn, research, and apply new machine learning techniques.
  
  
• Collaborative & Communicative:
• Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences.
• Passionate about sharing knowledge and contributing to a culture of learning and innovation.
  
  
• Mission-Driven:
• Motivated by Doctolib’s mission to make healthcare better for all. Eager to solve meaningful problems with technology.
• Detail-oriented, rigorous, and committed to delivering high-quality, production-ready solutions.

What we offer 

• Free comprehensive health insurance for you and your children

• 25 days of paid vacation per year, plus up to 14 days of RTT

• Free mental health and coaching services through our partner Moka.care

• Work from abroad for up to 10 days per year thanks to our flexibility days policy

• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib

• A subsidy from the work council to refund part of the membership to a sport club or a creative class

• 50% reimbursement of your public transport subscription

• Parent Care Program: receive one additional month of leave on top of the legal parental leave

• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

• Relocation support in case of international mobility

• Access to the best AI tools for coding, development and dedicated training

 The interview process  

• HR Screen 
• Call with Research Team Member 30 mins
• Scientific Presentation + Case Study 1 hour 30mins
• Behavioral Interview 1 hour 15mins
• At least one Reference check 

 Job details 

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

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

Research Scientist in Science

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

Are you a Research Scientist in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.

If so then keep reading…. 

As a Research Scientist in Science, you’ll be a part of the Research department, 

The Research Scientist in Science must accomplish the following:  

• Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
• Engage and assist in the identification of research directions
• Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
• Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments 
• Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. 
• Contribute to the team’s publication efforts.
• Bridge the gap between the research and product teams by integrating new fundamental research into applied projects. 

Requirements:  

• Ph.D. degree in Computer Science, Machine Learning or a related field.
• Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
• Experience in developing and debugging in Python3 or similar languages.
• Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
• Experience in planning and conducting research works
• A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
• Excellent communication skills and collaborative spirit.

Nice to haves

• 2-5 years experience

• Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
• Reinforcement Learning, Computer Vision, or Natural Language Processing experience.

Our Diversity, Equity, and Inclusion commitments

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team? 

At present, we operate in a hybrid work model of two days mandatory a week in the office. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note you will require the legal right to work in the location you are applying for. 

If you have any further questions please do not hesitate to contact us at: talent@instadeep.com

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

THE ROLE

Act as the main client liaison between clients and Sotheby’s specialists for all types of valuations. Involves the management and the production of multi-departmental valuations, for sale consignments and manage any resulting sale process through to completion, working particularly closely with key revenue generating departments, business getters, specialists and regional offices in the areas of greatest growth.

RESPONSIBLITIES

• Oversee the entire valuation process: carry out pre-valuation visits, to assess the contents of properties, calculate fees, organize the correct team of specialists and valuers for client visits, write briefs, proofing and act as quality check before documents are sent to the client.
• Visiting clients in order to prepare draft and formal valuations for sale, insurance, tax and estate purposes.
• Preparing this work in the form of accurate and detailed cataloguing in a timely and efficient manner and to the highest technical standards.
• Maintaining the highest standards of integrity and trustworthiness and maintaining complete client confidentiality at all times.
• Liaising with the Expert Departments within Sotheby’s in order that valuations are produced to the highest standards of description and accuracy.
• Direct, manage and oversee the resulting multi-departmental consignments: supervise the labelling and shipment of property, liaise with specialists regarding sale dates, estimates, reserves, maintain all correspondence with clients and ensure correct payment is made.
• Act as the ‘glue’ holding together every aspect of the consignment pre- and post-sale process to ensure that all commitments and deadlines are met (both client and internal).
• Direct and manage the consignment team throughout the proposal and pitch process in conjunction with senior business generators and/or the relationship manager.
• Review the commercial potential and sale opportunities of each valuation, discussing the best approach to take with the Department Head of Valuation & Collections, whether the valuation should be carried out or not and the approach to charges.
• Possess detailed knowledge of the correct principles to Sotheby’s valuations.
• Work with Proposals team and specialists to generate proposals for potential property for sale.
• Act as the main contact for nominated departments or regions, overseeing their valuation processes, and act as the point of contact for their valuations.
• Deal with general enquiries and respond accordingly.
• Prepare summary reports and action points at the start, throughout and on completion of a valuation, identifying opportunities for sale and client relationship development and seeing through to successful sale consignments.
• Agreeing terms for sale with business managers and relevant departments.
• Pro-actively build the valuation work carried out through the maintenance and development of private, professional and institutional relationships.
• Hold line manager responsibilities for (training, mentoring, review and goal setting etc.)
• Other projects as assigned by Department Head of Valuations & Collections.

Summary

The role involves every aspect of Sotheby’s notably their clients and their works of art, sales, purchases and all the valuation services. It requires a combination of great attention to detail and exceptional client skills with highly developed commercial awareness and the ability to work as part of a team.

IDEAL EXPERIENCE & COMPETENCIES

• Auctioneer degree and art education skills
• At minimum 2 years of experience as generalist
• Excellent communication, interpersonal and organisational skills
• Great client skills
• Fluency in English and an additional foreign language is a plus
• High sense of confidentiality
• Excellent communication, interpersonal and organisational skills
• Numerical, analytical and detail skills
• High computer literacy
• Flexible approach to working hours and being prepared to travel extensively in France and Europe as and when required
• Able to work under pressure, keeping to tight deadlines
• Be self-motivated and able to works effectively alone using own initiative
• All-round knowledge of the arts
• Team player
• Highly motivated
• Outgoing
• Flexible and reliable

Who we are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

What you will be doing: 

As a Senior Data Scientist, your role will encompass:

• Leading and conducting ambitious projects in the transformation of clients through data
• Developing data science products and solutions for clients as well as for our data science team
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Having a contributor role in upskilling our data science team and promoting our work within the other data departments
• Caring for the happiness of the team, ensuring that missions are delivered to a high standard and providing feedback and mentoring to less experienced Data Scientists
• Writing highly optimised code to advance Artefact’s internal tool box and knowledge

What you will learn with us : 

• Deliver impactful and successful projects on real-world problems across a variety of industries by delivering end-to-end machine learning pipelines
• Build complex solutions in feature teams with the help of your other data scientists but also ML Engineers, Data Engineers, Software Engineers and Product Owners
• Improve your software engineering skills by applying ML Ops best practises and working with the Machine Learning teams
• Become an expert in one of our data science practises: Time Series Forecasting, MLOPs, NLP, Computer Vision, Optimization or Customer Intelligence
• Discover state of the art algorithms and test them during your client projects, on real world data

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for your advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• 3+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting 
• Strong experience and knowledge of data processing, data modelling, algorithms, and data architecture
• Fluent in at least one of the following languages: Python, R, SQL, etc…
• Experience in leading a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

Why you should join us

• Artefact is the place to be: we train the data leaders of tomorrow
• Innovation: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Still hesitating, check our medium blog to discover concrete projects!

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

Vos missions

Doctolib développe des solutions innovantes pour améliorer l'accès aux soins et la qualité de vie des professionnels de santé. Dans le cadre de notre engagement pour une intelligence artificielle responsable, nous recherchons un.e stagiaire M2 pour évaluer les biais dans un système de dialogue en pédiatrie par l'analyse des conversations entre l'IA et les patients. 

En collaboration avec les data scientists de Doctolib et les chercheurs du LISN (Université Paris-Saclay), vous contribuerez à garantir l'équité et la fiabilité de nos solutions d'IA appliquées à la santé. L'un des objectifs clés de ce stage sera la création d'un jeu de données annoté et anonymisé qui sera publié en open-source. Ce stage de 5 mois vous permettra de travailler sur un projet à fort impact sociétal, à l'intersection du traitement automatique des langues, de la santé et de l'éthique de l'IA.

Vos responsabilités incluent, mais ne sont pas limitées à :

• Réaliser une revue de la littérature sur les méthodes d'évaluation des biais dans les modèles de langue appliqués à la santé
• Analyser un corpus de dialogues anonymisés entre le système d’IA et les parents/patients en pédiatrie pour identifier les biais potentiels
• Définir et mettre en œuvre un schéma d'annotation pour caractériser les biais identifiés
• Construire un cadre d'évaluation s'appuyant sur une évaluation désagrégée par caractéristiques démographiques
• Appliquer ce cadre au système de dialogue et comparer les résultats avec d'autres modèles auto-régressifs

Les qualités attendues

Avant de poursuivre votre lecture, si vous n'avez pas le profil exact décrit ci-dessous, mais que vous pensez que cette description de poste correspond à vos compétences et à vos aspirations, nous vous encourageons tout de même à postuler.

Vous pourrez être le prochain membre de notre équipe si vous :

• Maîtrisez Python et l'écosystème de traitement des données (pandas, scikit-learn)
• Êtes familier avec les modèles de langue et les bibliothèques associées (HuggingFace Transformers, vLLM ou équivalent)
• Possédez d'excellentes capacités de rédaction scientifique en français et en anglais
• Êtes en fin de Master 2 (professionnel ou recherche) ou d'école d'ingénieur
• Démontrez un intérêt pour les questions d'équité et de biais en intelligence artificielle

Ce serait fantastique si :

• Vous avez des connaissances en traitement automatique des langues, notamment en évaluation de modèles
• Vous possédez une expérience avec des cadres d'évaluation (benchmarks, métriques)
• Vous avez une sensibilité au domaine médical ou de la santé

Notre offre

• Des tickets restaurant d'une valeur de 8,5 € par jour, dont 4,5 € pris en charge par Doctolib
• Un programme d'intégration complet de 3 mois incluant la Doctolib Academy et diverses formations (langues, soft skills, compétences techniques)
• Une subvention du comité d'entreprise pour le remboursement partiel d'adhésions à des activités sportives ou de loisirs
• Un remboursement à 50% de l'abonnement aux transports en commun 

Le processus de recrutement

• Codingame en ligne
• Entretien avec notre Talent Recruiter (30 minutes)
• Entretien avec Nicolas, notre Principal Data Scientist (30 minutes)
• Entretien avec LISN (60 minutes)

Détails du poste

• Stage
• Temps Plein
• Levallois-Perret (Doctolib) et Orsay (LISN)
• Prise de poste : dès que possible
• Durée : 5 mois

Chez Doctolib, nous sommes convaincus que nous devons améliorer la santé pour tout le monde. Cela se reflète dans notre processus de recrutement. Nous évaluons les candidatures uniquement sur la base des qualifications et de la motivation, sans aucune forme de discrimination.

Plus les idées sont diverses, plus notre produit améliorera véritablement la santé pour tout le monde. Vous pouvez postuler chez Doctolib, quel que soit votre genre, religion, âge, orientation sexuelle, origine ethnique ou handicap.

Afin de garantir l'égalité des chances, nous vous invitons à exclure les informations personnelles (par exemple : photos, âge) de vos candidatures. Si vous avez besoin d'aménagements particuliers, merci de nous en informer pour que nous puissions adapter le processus de recrutement. Rejoignez-nous pour construire la santé dont nous rêvons tous !

Toutes les informations fournies sont traitées par Doctolib pour la gestion des candidatures. Pour plus de détails sur le traitement des données, cliquez ici. Veuillez contacter hr.dataprivacy(at)doctolib.com pour toute question ou pour exercer vos droits.

Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector? Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas:

The areas of expertise we are looking for :

• ML Engineering & MLops : Python proficiency, Model deployment, Evaluation frameworks (Offline/Online) & Model monitoring
• Natural Language Process (NLP) : Clinical NLP, LLM expertise Deep Learning or Speech / Language modeling 
• LLMops & Generative AI : Prompt Engineering, RAG, LLM fine-tuning, Embedding models, Agent frameworks 
• Automatic Speech Recognition (ASR) : Voice Activity Detection, Interactive voice assistants, audio processing, Speech-to-text 
• Search, Ranking, information retrieval
• Reasoning capabilities  : Logical reasoning, Multi-step reasoning, Chain-of-thought approaches
• Knowledge representation : Knowledge graphs, ontologies, Semantic modeling 
• Reinforcement Learning : RL algorithms, Policy optimization, Reward modeling

Most of our positions require:

Before reading further, if you don't have the exact profile described below, but you think this job description matches your skills and aspirations, we still encourage you to apply.

• Hold a degree in computer science, applied mathematics, data science, or related field (Master's, PhD, or equivalent)
• Master machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn)
• Have hands-on experience with LLMs, open and closed source  Proficient in Python
• Possess strong analytical skills and a results-oriented approach
• You speak English fluently (international work environment)

It would be fantastic if:

• You have experience in healthcare or medical NLP
• You master RAG techniques, embeddings, and vector search
• You know MLOps technologies and model deployment in production (Kubernetes, Docker, MLflow)
• You have contributed to open-source projects or published in AI conferences

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.

What you’ll do

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments.

Your responsibilities include but are not limited to:

Technical Strategy & Architecture

• Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
• Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
• Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows

End-to-End ML Delivery

• Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
• Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
• Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction

Leadership & Impact

• Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
• Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
• Translate clinical needs into research questions and production systems that measurably improve patient outcomes
• Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.

Who you are

Before you read on,  if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
• You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
• You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
• You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Now it would be fantastic if you have:

• Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues
• Experience with EU healthcare regulations (GDPR, MDR, AI Act)
• Prior work with clinical data or healthcare applications

What we offer

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

The interview process

• HR Screen
• Hiring Manager Interview
• Behavioral Interview
• Technical Questions 
• Technical Case Study
• At least one reference check

Job details

• Permanent position
• Full-time
• Hybrid work mode (3 days/week in the office)
• Paris, France
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here.

Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Role: Individual Contributor
• Languages: French (main and required) / English (required)
• Location: Paris
• Contract Type: CDI
• Your Manager: https://www.linkedin.com/in/marienoelleschmitt/ 

How You’ll Shape Our Story:

As a Strategic Account Management Coordinator, you will hold a key position within the Sales team, as you will be directly responsible for the Key Accounts scope, meaning partners or prospects who manage multiple sites in their portfolio. You will discover the electric mobility ecosystem, which combines technology, infrastructure, and the dynamic Retail sector.  You will be involved in the following major missions, allowing you to interact with all Powerdot teams:

Prospecting

• Data collection and qualitative/quantitative analysis to present projects to the investment committee
• Setting up partnership contracts
• Managing signed contracts using our various tools (CRM, ERP)
• Assisting in drafting commercial proposals and responses to tenders
• Designing deployment plans for partners
• Participating in industry events to identify new key account partners

Key Account Partner Relations

• Analyzing and formalizing quarterly business reviews with our key accounts
• Managing relationships with existing partners
• Implementing marketing actions with partners (promo codes, special campaigns)
• Communicating partners’ needs to the relevant Powerdot teams (maintenance, finance, legal, marketing)
• Monitoring the performance of already operational charging stations

This Is About You, Not Us 🫵🏼:

• Graduated from a top business school, with up to 3 years of experience
• Bold and curious, you have a strong desire to learn and go beyond what is asked to deliver maximum value
• With a strong entrepreneurial mindset, you are proactive and autonomous in driving projects forward and taking risks
• You enjoy prospecting new clients and maintaining strong relationships with them
• Excellent organizational skills with a clear sense of priorities
• Rigorous and methodical, you are efficient and able to manage multiple projects simultaneously
• Pragmatic, you don’t get lost in details and can quickly find simple solutions to problems
• Creative, you are able to “think outside the box” to solve challenges
• Responsible, you take full ownership of your work and have a strong sense of accomplishment and quality
• Equipped with excellent written and verbal communication skills, you are comfortable interacting with clients and partners, and can convey your ideas in a convincing and constructive way
• Fluent in English
• Strong interest and enthusiasm for sustainable mobility, and a desire to help capture a fast-growing market with a disruptive value proposition. Experience in electric mobility and/or Retail is a plus. If not, we will support your learning and development.

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (last year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• 🚊 Reimbursement of Navigo pass costs for residents of Paris
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

Education Manager - EU

Connected by creativity and driven by purpose. Hourglass Cosmetics is a vegan and cruelty-free beauty brand, redefining luxury cosmetics with high-performance products, innovative formulas, and award-winning franchises. Recognized by Forbes, Fast Company and Time Magazine as one of the most inventive beauty companies, Hourglass leads the industry with its breakthrough products and its commitment to animal welfare. Founded in 2004, Hourglass is globally available in 32 markets and nearly 4,600 doors including Sephora, Ulta, Neiman Marcus, Selfridges, Space NK and more. Hourglass became part of the Unilever Prestige division in 2017. Discover more about the Hourglass brand story and mission on our website hourglasscosmetics.com

In this dynamic Education Manager role, you will be responsible for training & education execution across Europe that elevates artistry skill and ignites passion for Hourglass Cosmetics. This is an exciting opportunity to implement the best possible customer service and artistry led service which is aligned across the business. This position requires a passion for teaching and mentoring a sales team, as well as extensive experience facilitating trainings and events across multiple audience categories. It is critical for the candidate to have luxury brand artistry aesthetic, brand ambassador experience, highly poised, articulate, superior attention to detail, and a passion for developing and growing team skills.

WHAT YOU DO:

• Lead various developmental high-level trainings for Markets and Field, developing highly skilled field & store-level Retail Artists from an artistry, sales, and customer experience perspective.
• Harness the Hourglass aesthetic, artistry POV, and, in partnership with Global Edu & Artistry Development team, develop looks, techniques, and service experiences to ensure brand continuity & brand aesthetic.
• Consult with EU markets to help identify opportunities for development plans of field & counter teams.
• Support new market & new door openings, training teams, eventing, & leading special programming to drive traffic and productivity in-store.
• Track and report on training progress, team performance, and store compliance with training protocols. Ensuring that all team members are up to date with their Ed App learning and e-module completion.
• Identify skill gaps and develop targeted training initiatives to address them.
• Lead the planning and execution of store events and masterclasses across the region.
• Oversee the event calendar and ensure flawless execution, within budget and in line with the region objectives.
• Monitor KPIs and ROI, deliver post-events and post-campaigns reportings.
• Visit stores regularly to observe, coach, and support the teams in their daily operations and Artistry knowledge.

WHAT YOU’LL GAIN:

• Superior experience developing the European artistry team development programs for a high growth, luxury beauty brand.
• Gain deep understanding of the European market business while further growing artistry skill and consumer awareness.
• Experience growing and elevating global field, store, and consumer Hourglass artistry skill.

YOU’LL LOVE THIS JOB IF:

• You are CREATIVE: You are innovative, and forward-thinking in your approach, and mindset.
• You are a BRAND AMBASSADOR: You know how to infuse a brand’s unique aesthetic into everything you do, inspiring learners to fall in love with Hourglass and boost confidence in their own abilities to achieve desired looks.
• You are a strong COMMUNICATOR: You are a people person, natural leader and collaborate well with others. You are an excellent presenter and can inspire a room.
• You are AGILE: You adapt well to changing needs and priorities and can pivot easily to achieve goals and deadlines. You have the ability to inspire, lead and coach diverse teams across countries and cultures.
• You are CONFIDENT: You are excited and motivated and can dynamically serve the cross functional needs with poise and a service-oriented mindset.
• You are DETAIL AND BUSINESS ORIENTED: You appreciate the importance of having detailed and precise information. You have a deep understanding of the retail dynamics and how to impact business performance through coaching.

QUALIFICATIONS:

• 5+ years' experience in an Education role within the beauty industry.
• Deep understanding of the current beauty industry trends, artistry techniques, and looks.
• Proven ability to lead training programs that drive commercial results in a retail environment.
• Excellent project management skills, ability to deliver multiple projects simultaneously, set priorities and meet competing deadlines; maintain creative and active problem solving to drive on time and quality delivery for all projects and partner with various levels in the organization.
• Effective communicator, strong relationship-building skills and proven record of cross-functional partnerships.
• Thrive in an environment that is fast paced, rapidly changing and able to handle multiple priorities while meeting objectives, works well under pressure.
• Flexibility to travel regularly across different locations in Europe.
• French and English mandatory, a third language would be highly appreciated

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (Convention de stage) signed by your school or university for 6 months and you are able to start your internship on August 31th.
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• French is mandatory at a fluent level and you can communicate clearly in English.

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 2000€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
• Technical interview 2 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. 

Junior UI/UX Designer
Full-time
In-person

At Interstellar Lab, our mission is to build a future full of life, on Earth and beyond.
We believe in a world where technology enables humans to live in harmony with nature, where biodiversity thrives and expands, and where terrestrial life becomes multi-planetary.

To build this future, we design autonomous biospheric systems to grow plants with precision, on Earth and in Space. Our AI-powered BioPods and BioCapsules leverage biosciences to reproduce and optimize growth conditions for a wide variety of high-value plants.

On Earth, we pioneer molecular and biofarming, boosting the production of metabolites and bioactive compounds while offering sustainable, traceable, and high-quality natural ingredients to the beauty, fragrance, pharmaceutical, and nutraceutical industries.

In space, we collaborate with agencies and private companies to develop biofarming units that advance life science research in microgravity and lay the foundation for future biofactories in space, enabling innovative terrestrial applications and long-duration space missions.

About the Role
As Junior UI/UX Designer, you will shape the user experience and visual identity of BioApp, Interstellar Lab’s digital platform for monitoring and operating our biofarming systems.

You will design intuitive, functional, and visually cohesive interfaces that bridge our hardware and software environments, working closely with engineers, designers, and scientists.

Responsibilities

• Design and refine user interfaces for BioApp across web and mobile platforms.
• Maintain and organize the Figma workspace, ensuring consistency across teams.
• Define user flows and interaction logic for intuitive, efficient operation.
• Create wireframes, prototypes, and visual systems aligned with our brand identity.
• Develop UI mockups and graphic assets consistent with Interstellar Lab’s design language.
• Conduct design reviews and iterate based on feedback from internal users and stakeholders.
• Ensure usability, responsiveness, and accessibility standards are met.
• Stay informed about emerging UI/UX trends and tools to enhance product design.

Profile / Qualifications

• Degree in UI/UX Design, Interaction Design, Visual Communication, or related field.
• 1-3 years of professional experience in UI/UX design, preferably in tech or science environments.
• Strong portfolio demonstrating user-centered design and visual sensibility.
• Proficiency in Figma (Auto Layout, Components, Prototyping) and familiarity with design systems.
• Working knowledge of Adobe Creative Suite and HTML/CSS; understanding of responsive design.
• Ability to communicate effectively with multidisciplinary teams.
• Organized, detail-oriented, and proactive in a fast-paced environment.
• Fluent in French with professional proficiency in English.

Equal Opportunity
Interstellar Lab is proud to be an equal opportunity employer. Interstellar Lab does not discriminate on the basis of race, regional 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 disability, or other applicable legally protected characteristics.