Amazon Sr Applied Scientist FAR Frontier AI & Robotics 

United States, Washington, Seattle 

10675296

Key job responsibilities
- Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands-on research and development in areas like open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments
- Mentor and support fellow scientists while maintaining strong individual technical contributions- Influence technical decisions and implementation strategies within your area of focusA day in the life
- Develop and implement novel foundation model architectures, working hands-on with our extensive compute infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from sim2real transfer to efficient multi-task learning
- Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Conduct experiments and prototype new ideas using our massive compute cluster1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of industry or academic research experience
- Experience programming in Java, C++, Python or related language
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publication at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL).
- Extensive track record of leading technical projects.
- Experience mentoring junior scientists / engineers.
- Demonstrated expertise in deep learning and model development.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.