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Amazon Principal Applied Scientist Amazon Prime 
United States, Washington, Seattle 
282934006

15.01.2025
DESCRIPTION

Key job responsibilities- Act as a thought leader and forward thinker, anticipating obstacles to success and helping avoid common failure modes.
- Research, build, and deploy innovative machine learning solutions; working across all technical disciplines.- Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions.

BASIC QUALIFICATIONS

- Ph.D. in Machine Learning, Computer Science, or related disciplines.
- 10+ years of post-Ph.D. experience, delivering highly effect machine learning solutions that solve real-world problems at a very large scale.
- Expert in machine learning, statistics, and experiment design.
- Expert in taking machine learning solutions into production at a large scale.
- Experience with Large Language Models and Generative AI.
- Experience hiring and building teams of applied scientists.
- Proven communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence


PREFERRED QUALIFICATIONS

- 10+ years of innovative machine learning research experience, with strong analytic and problem-solving skills.
- 10+ years of experience building and deploying groundbreaking machine learning solutions at scale.
- Expert level skills across many Machine Learning methodologies.
- Published research work in academic conferences or industry circles.
- Experience delivering complex end-to-end global ML solutions that run at very big scale.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from big data.
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business, product, and technology very well.
- This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics, and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent.