ML Research Engineer
Family: Data & AI
Bridges the gap between research and production by implementing, evaluating, and scaling novel machine learning models.
Day to day
Translates research papers into working prototypes, runs experiments, benchmarks model architectures, and collaborates with scientists to ship models to production.
Core skills
- PyTorch/JAX
- experiment tracking
- model evaluation
- distributed training
- Python