Applied LLM Scientist, Vesper

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Join us in building the future of shopping! If youre passionate about creating unique mobile experiences that is an AI first experience. We are seeking exceptional applied scientists who will help build magical shopping experiences leveraging and extending state of the art machine learning that leverage foundational models and proved optimization techniques. You will be working on an inter-disciplinary team of highly-capable software engineers (mobile and backend) scientists designers and product managers to invent new experiences that work for millions of customers at scale. You will act as a technical lead guiding software development engineers and scientists to bring scientific improvements into production.

Key job responsibilities
Lead a cross-functional team of applied scientists machine learning engineers and software developers in designing and implementing AI-powered shopping experiences using foundational models and advanced optimization techniques
Define technical strategy and roadmap for machine learning initiatives making executive decisions on architecture technology stack and resource allocation to achieve business objectives at scale
Oversee the end-to-end development lifecycle directing team members in the design implementation and deployment of innovative AI/ML solutions that serve millions of customers
Development and mentors engineers and scientists and advise on team composition and structure
Drive cross-functional collaboration at the leadership level working with senior product managers designers and engineering leaders to align ML initiatives with broader organizational goals
Establish and enforce technical standards code quality guidelines and best practices across the organization ensuring scalability performance and reliability of production systems
Make critical business decisions regarding project prioritization and trade-offs between innovation speed and system stability
Represent the technical organization to executive leadership providing strategic recommendations and reporting on team performance project milestones and resource needs


- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 WA Seattle - 167100.00 - 226100.00 USD annually


Required Experience:

IC

Join us in building the future of shopping! If youre passionate about creating unique mobile experiences that is an AI first experience. We are seeking exceptional applied scientists who will help build magical shopping experiences leveraging and extending state of the art machine learning that leve...
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