Amazon · 5 hours ago
Applied Scientist, Sponsored Products and Brands
New York, United States
Full-time
Onsite
Mid, Senior Level
$172K/yr - $223K/yr
3+ years expAmazon is re-imagining the advertising landscape through novel generative AI technologies in its Sponsored Products and Brands team. The applied scientist will develop AI solutions to enhance advertiser and shopper experiences, drive the design of complex software systems, and mentor junior scientists.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns
You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives
You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones
Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding
Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Translate complex scientific challenges into clear and impactful solutions for business stakeholders
Mentor and guide junior scientists, fostering a collaborative and high-performing team culture
Stay up-to-date with advancements and the latest modeling techniques in the field
Qualification
Required
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Deep curiosity, and basic knowledge on Gen AI
Preferred
Experience with large scale distributed systems such as Hadoop, Spark etc
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Previous work on agents or LLMs
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase