We are seeking an exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale.
What you'll do
As an Applied Scientist, you will develop and improve machine learning systems that help robots perceive, reason, and act in real-world environments. You will leverage state-of-the-art models (open source and internal research), evaluate them on representative tasks, and adapt/optimize them to meet robustness, safety, and performance needs.
- Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization.
- Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between sim and real environments.
What you need
- Experience writing and publishing technical documents or equivalent
- PhD, or Master’s + 4+ years building ML models/algorithms in applied settings.
- 2+ years hands-on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction.
