Senior Applied Scientist, Artificial General Intelligence
Listed on 2026-01-16
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Job | Services LLC - A57
The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre‑training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and scientists.
Key job responsibilities- Scaling laws
- Hardware‑informed efficient model architecture, low‑precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self‑supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI‑assisted research
The AGI team has a mission to push the envelope in Large Language Models (LLMs) and multimodal systems, in order to provide the best‑possible experience for our customers.
Basic Qualifications- PhD, or Master’s degree and 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Relevant Generative Artificial Intelligence (GenAI) research experience with LLMs and multimodalities
- Experience with patents or publications at top‑tier peer‑reviewed conferences or journals
- For system researchers, familiarity with deep learning compilers, auto‑parallelization, and XLA/MLIR ecosystems
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
EEOStatement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Base salary rangeUSA, CA, Sunnyvale - - USD annually
BenefitsThe 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.
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