Principal Applied Scientist, Amazon Prime

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Description

Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement.

Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. To lead Prime’s growth and impact through science and innovation, we are seeking a Principal Applied Scientist, Prime Science, to create and deliver Machine Learning innovation both for customer facing and internal solutions.

To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science vision, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientists, applied scientists, engineering, and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus, and business understanding.

Prime is committed to diversity, equity, and inclusion and recognizes that our ability to serve our members is contingent on having diverse backgrounds, ideas, and ways of working on our team. This leader plays a key role as a member of the Prime worldwide leadership team to set the right organizational vision, standards, and mechanisms to ensure Prime is the best place for top talent to thrive.

Key job responsibilities

• Own and drive the most complex and strategic solutions across the business; responsible for many billions in revenue.
• 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.
• Partner with science, engineering, and product leaders across the business to identify and deliver innovative machine solutions; identify new opportunities, define the vision and execute solutions that continually delight customers.
• 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.
  
  

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.