Key job responsibilities
- Lead and execute complex, ambiguous research projects from ideation to production deployment
- Drive technical strategy and roadmap decisions for ML/AI initiatives
- Collaborate cross-functionally with product, engineering, and business teams to translate research into scalable products
- Publish research findings at top-tier conferences and contribute to the broader scientific community
- Establish best practices for ML experimentation, evaluation, and deployment
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience delivering results for large, cross-functional initiatives/projects, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years
- Experience with training and deploying machine learning systems to solve large-scale optimizations
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience providing technical leadership on high-impact cross-fucntional technical project
- Experience with autonomous AI frameworks (e.g. Dreamer, PlaNet, JEPA, NVIDIA Cosmos)
- Knowledge of decentralized optimization methods (e.g. swarm intelligence) Familiarity with advanced optimization and control methods (multi-objective optimization, constrained optimization, discrete optimization, model-based optimization, stochastic optimization, distributed control).
- Experience developing and maintaining digital twins
- Experience with multiscale geospatial modeling and forecasting
- Track record of translating research into production systems at scale
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually