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Key job responsibilities- Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
- Understand the challenges that developers face when building cloud-based solutions, and develop generalizable solutions.- Communicate and document your research by writing internal documents, giving talks/demos, and striving to publish papers in external scientific venues.
A day in the life
Utility Computing (UC)About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- PhD in Machine Learning, Computer Science, Mathematics, Physics, Statistics or any other field with quantitative focus
- Several years experience building machine learning models for business applications using Java, C++, Python or related language
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with deep learning frameworks such as PyTorch and Hugging Face
- Experience in professional software development
- Experience with generative AI techniques, such as retrieval augmented generation, LLM fine-tuning, or hyperparameter tuning
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