Engineer F/M for Neural Architecture Growth
Role details
Job location
Tech stack
Job description
The person recruited will work on Frugal AI, and more precisely on Neural Architecture Growth, both on theoretical and practical aspects, to be able to develop architectures that develop on the fly while training and thus spare computational resources needed by classical Neural Architecture Search (whether manual or automated).
More precisely, the topic will be to develop, implement and test reinforcement learning approaches for neural architecture growth. The person recruited is expected to follow the literature on this topic and suggest development directions.
Principales activités
The main task is to contribute to theoretical developments of the topic (optimization, searching for growth strategies), to the open-source library of the team, and to the team's social and daily life.
It is also expected to take part to writing papers and deliverables that are required by the European project, which correspond to the advancement of the state of the project.
Requirements
- machine learning (neural networks...)
- reinforcement learning (policy gradient using neural networks, ...)
- maths (statistics, analysis, etc.)
- optimization (gradient descent, ...)
- programming (python, PyTorch), Motivated to work on Frugal AI with a small team including PhD students, post-docs, and permanent researchers.
Benefits & conditions
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
