Explorez le domaine passionnant du Machine Learning à 14 Emplois pour Machine learning - Paris
Senior Machine Learning Engineer
Aujourd'hui
Emploi consulté
Description De L'emploi
WHO WE ARE
Adikteev, a member of the 2025 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and CTV UA campaigns.
With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving a 60% revenue growth this year ($50m+ revenues in 2023).
HOW WE MAKE AN IMPACT
Own it, Live it : Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.
Rolling with Changes : We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
Making waves with purpose : We're here to make a difference. Every decision and action is aimed at creating positive and meaningful impact.
The ADIKTEAM vibe : We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments.
WHAT YOU WILL DO
We are looking for a Senior Machine Learning Engineer to help design, deploy, and evolve predictive models that power Adikteev’s core adtech systems. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.
Your responsibilities will include:
Own machine learning pipelines end-to-end: data preparation, feature engineering, model development, training, deployment, monitoring, and iterative improvements.
Build and maintain models focused on getting the best return-on-investment for every ad impression while satisfying production constraints specific to our industry (large volumes and low latencies).
Collaborate closely with Engineering team to industrialize model delivery and ensure smooth operations in production.
Investigate anomalies, performance shifts or A/B test results, and deliver clear insights to business and product stakeholders.
Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.
Mentor less experienced members of the team
WHO YOU ARE
You could be a great addition to our Machine Learning team if you recognize yourself in several of the following areas:
Academics
Strong theoretical background in mathematics and/or computer science
MS or PhD is a plus
Professional experience
6+ years of experience in hands-on roles that leverage machine learning to power a core company product
Significant experience with production environments: testing, deploying, monitoring, etc.
Experience in AdTech is a plus
Engineering & infrastructure skills
Write clean, maintainable, production-quality Python code, with a strong grasp of testing, typing, CI/CD.
Hands-on experience with Scala, Spark, Airflow and/or AWS is a plus
Hands-on experience with large-scale data engineering or high-frequency inference systems is a strong plus
Machine learning skills
Intimate understanding of theoretical concepts in probability, statistical learning, and optimization
Significant modelling experience with tabular data for classification and regression problems
Practical experience of deep learning and embeddings is a plus
Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.
PERKS AND BENEFITS*
Competitive Salary ;
Performance-based Quarterly bonus with transparent KPIs;
Profit-sharing scheme ("Prime de participation") ;
Longevity bonus every 2 years ;
Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;
€9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;
4 1/2 days work week (Fridays afternoon off) ;
“RTT” ;
50% of transportation fees covered by Adikteev (Navigo Pass)
Mental Health support ;
Flexible remote working policy ;
Regular team-life event / activity
Inclusive parental leave Policy.
*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that’s both relevant and compliant wherever you are.
OUR PROCESS
What to expect as you move through our hiring process:
HR call with Claire, Talent Acquisition Partner ;
Team fit interview with Loïc, Chief Product Officer ;
Technical case study to be completed remotely with a follow-up discussion with Gwenaëlle and Nicolas, Senior ML Engineers. This discussion will involve a 30-minute live test ;
Final interview with two executive committee members.
If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.
OUR COMMITMENT
We’re proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don’t meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.
Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.
Research Scientist, Neural Interfaces - Machine Learning
Publié il y a 4 jours
Emploi consulté
Description De L'emploi
Reality Labs is seeking an AI Research Scientist to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction.We're looking for people who want to shape the future of this technology and leverage state-of-the-art ML to push the limits of non-invasive neuromotor interfaces.
**Required Skills:**
Research Scientist, Neural Interfaces - Machine Learning Responsibilities:
1. Research and develop machine learning models that leverage biosignals to advance neural interface capabilities
2. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, data compression, data augmentation etc.)
3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
**Minimum Qualifications:**
Minimum Qualifications:
4. Obtained a PhD in the field of computational neuroscience, machine learning, computer science, electrical engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
5. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g. Scikit-learn, PyTorch, JAX, TensorFlow)
6. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly
7. 3+ years of experience working autonomously to design, execute, interpret, and present research studies
8. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience working and communicating cross-functionally in a team environment
11. Experience in signal processing and familiarity with real-time signals
12. Experience with large scale cluster computing for machine learning modelling
13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, COSYNE or similar
14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
**Industry:** Internet
Research Scientist Intern, AI Core Machine Learning
Publié il y a 4 jours
Emploi consulté
Description De L'emploi
We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
**Required Skills:**
Research Scientist Intern, AI Core Machine Learning Responsibilities:
1. Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
2. Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
3. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
4. Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
6. Contribute to research that can be applied to Meta product development.
**Minimum Qualifications:**
Minimum Qualifications:
7. Currently has or is in the process of obtaining a Masters degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field
8. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
9. Experience with Python, C++, C, Java or other related language
10. Experience with deep learning frameworks such as Pytorch or Tensorflow
11. Experience building systems based on machine learning and/or deep learning methods
12. Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
**Preferred Qualifications:**
Preferred Qualifications:
13. Intent to return to degree program after the completion of the internship/co-op
14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
15. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
16. ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
17. Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
18. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
19. Experience working and communicating cross functionally in a team environment
**Industry:** Internet
Research Scientist Intern, AI Core Machine Learning (PhD)
Publié il y a 4 jours
Emploi consulté
Description De L'emploi
We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
**Required Skills:**
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
1. Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
2. Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
3. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
4. Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
6. Contribute to research that can be applied to Meta product development.
**Minimum Qualifications:**
Minimum Qualifications:
7. Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field
8. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
9. Experience with Python, C++, C, Java or other related language
10. Experience with deep learning frameworks such as Pytorch or Tensorflow
11. Experience building systems based on machine learning and/or deep learning methods
12. Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
**Preferred Qualifications:**
Preferred Qualifications:
13. Intent to return to degree program after the completion of the internship/co-op
14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
15. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
16. ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
17. Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
18. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
19. Experience working and communicating cross functionally in a team environment
**Industry:** Internet
Accelerator Data Science (Paris)
Publié il y a 4 jours
Emploi consulté
Description De L'emploi
_This job offer is accessible to all, regardless of gender_ _._
**Job title** **:** _Data Scientist_
+ _Location: Paris_
**_About the job_**
We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.
Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi's capabilities make us the best place to push the boundaries of medicine through technology.
We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.
**About Sanofi:**
We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.
**Main responsibilities:**
+ Work with business teams to understand requirements, and translate them into technical needs
+ Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products
+ Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
+ Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
+ Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
+ Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
+ Work with developers, engineers, and MLOps to deliver AI/ML solutions
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
** **
**_About you _**
**Experience:**
+ Experience developing deployable code and deploying models in product-focused development under an agile environment
+ Experience in production-ready software development
+ Track record of applying machine learning/deep learning approaches to solve health-related problems
+ Experience with content generation using Large Language Models (LLM) is desired
+ Experience in a healthcare company is a strong plus
**Soft s** **kills:**
+ Excellent written and verbal communication skills
+ Experience working with multiple teams to drive alignment and results
+ Service-oriented, flexible, positive team player
+ Self-motivated, takes initiative
+ Problem solving & critical thinking
**Technic** **al skills:**
+ Experience with Retrieval-Augmented Generation (RAG)
+ Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge
+ Fine-tuning models to combine retrieval results with generative outputs
+ Knowledge of Agentic Frameworks
+ Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools
+ Familiarity with frameworks like LangChain, or similar agent-driven architectures
+ Prompt Engineering and Few-Shot Learning
+ Crafting effective prompts for specific tasks, leveraging few-shot and zero-shot paradigms
+ Optimizing prompts for performance, clarity, and reduced token consumption
+ Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics)
+ Natural Language Processing (NLP) Fundamentals
+ Understanding of transformer-based architectures (e.g., GPT, BERT, T5)
+ Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms
+ Building NLP pipelines for text classification, summarization, and entity recognition
+ Familiarity with Knowledge Graphs and Semantic Search
+ Building and integrating knowledge graphs for structured information retrieval
+ Leveraging semantic search for improved accuracy in large-scale document understanding
**Educati** **on:**
+ PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master's Degree in relevant domain
**Langu** **ages:**
+ English, French
**_Why choose us?_**
+ We provide a highly collaborative environment, with an opportunity to work with a world class team
+ Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
+ Bring the miracles of science to life alongside a supportive, future-focused team
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave
+ Play an instrumental part in creating best practice within our manufacturing facility
**Pursue** **_Progress_** **.** **Discover** **_Extraordinary_** **.**
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let's Pursue _Progress_ and Discover _Extraordinary_ - together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#LI-FRA
#LI-Hybrid
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
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