Research Engineer

Main mission

Transforms research ideas into efficient code and reproducible experiments.

5 key responsibilities

• Implement research ideas into efficient, tested code.
• Build large-scale experimentation infrastructures.
• Optimize training: speed, memory, computational cost.
• Reproduce paper results and validate baselines.
• Bridge the gap between researchers and product engineering teams.

Key skills

Python, PyTorch/JAX, distributed systems, experimental rigor, paper reading.

What's expected

Reproducible and fast experiments: the researcher thinks, the Research Engineer makes the idea testable in days, not months.

Career paths

AI Research Scientist, AI Infrastructure Engineer, Lead Research Engineering.