Applied Scientist, SCOT RL
About The Position
Our team is at the forefront of machine learning research, dedicated to developing innovative RL algorithms and applying them to complex, real-world challenges in Amazon's global inventory and supply chain network. Our focus is not just on advancing theoretical knowledge but also on implementing these insights to optimize operations and enhance customer satisfaction. We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operations, managing decisions that impact billions of dollars worth of inventory. For scientists passionate about impactful research in machine learning and AI, our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazon's operations.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in building machine learning models for business application
- 1+ years of practical machine learning experience
- 1+ years of hands-on predictive modeling and large data analysis experience
Nice To Haves
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with PyTorch
Responsibilities
- Design, implement, and evaluate innovative models, agents, and software prototypes.
- Collaborate with a team of experienced scientists to drive technological advancements.
- Develop innovative solutions to complex business problems in collaboration with partner teams.
- Contribute to Amazon's global science community through collaboration and publication of ground-breaking research.
- Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
