Machine Learning Engineer
Inria · Paris
Research instituteonsiteentry-level
At a glance
Highlights
- Design a modular library to compute generalization bounds for neural networks.
- Bridge learning theory and practical deep learning in ERC DYNASTY project.
- Present scientific work at conferences with travel expenses covered.
What they offer
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks annual leave plus 10 RTT days and exceptional leave
- Professional equipment including videoconferencing and computer loan
- Access to vocational training and social security coverage
- Social, cultural and sports events and activities
Ideal candidate
A recent MSc-level graduate who loves translating mathematical theory into reliable software and collaborating closely with researchers to advance deep learning understanding.
Requirements
- Master's degree (Bac+5) or equivalent
- Strong Python programming skills and experience with PyTorch
- Solid understanding of machine learning and deep learning
- Experience in scientific software development, testing and version control
- Familiarity with statistical learning theory and generalization bounds is a plus
- Ability to work collaboratively and translate math into reliable software
- remote policy
- Possibility of teleworking with flexible working hours
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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