Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands

Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States
• United States, NY, New York, New York, NY, United States
• United States, CA, Palo Alto, Palo Alto, CA, United States

Salary

Salary not disclosed

Skills Required

• - 5+ years of applied ML experience in building customer-facing recommender systems involving AI, ML, and NLP.intermediate
• - Hands-on experience with designing and prototyping AI solutions for real world applications.intermediate

Required Qualifications

• - PhD in Computer Science, Statistics or related field. (degree in computer science)
• - 5+ years of applied ML experience in building customer-facing recommender systems involving AI, ML, and NLP. (experience, 5 years)
• - Hands-on experience with designing and prototyping AI solutions for real world applications. (experience)

Preferred Qualifications

• - Research publications or patents in generative AI technologies (experience)
• - Experience with natural language processing and generative model architectures (experience)
• - Background in advertising technology or e-commerce platforms (experience)
• - Demonstrated track record of innovative AI solution development (experience)
• Los Angeles County applicants: 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
• 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. (experience)

Responsibilities

• The Principal Applied Scientist in Advertiser Guidance team will lead 50+ builders in pioneering a new generation of agentic AI applications for Amazon advertisers. You will define and lead the science roadmap of developing agentic experiences for recommendations and guidance delivered to +1.6MM Sponsored Products and Brand advertisers across multiple channels (Ad Console, Sales-managed, and 3P partners).
• You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns.
• As a Principal Scientist, you will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across the Ads Org.

Documents

• Accommodations Information (web)
• https://www.aboutamazon.com/workplace/employee-benefits (web)

Application Instructions

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