Amazon · 14 hours ago
Sr. Applied Scientist, Amazon Ads
Corvallis, OR
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
5+ years expAmazon is re-imagining advertising through cutting-edge generative artificial intelligence (AI) technologies. As a Senior Applied Scientist in Amazon Ads, you will research and implement innovative ML solutions that directly impact the advertising life cycle, working alongside talented engineers and scientists to push the boundaries of AI in advertising.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Research and implement cutting-edge ML approaches, including applications of generative AI and large language models
Develop and deploy innovative ML solutions spanning multiple disciplines – from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models
Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data
Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently
Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists
Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact
Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience
Qualification
Required
5+ years of building machine learning models for business application experience
PhD, or Master's 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
Preferred
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
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
2026-02-09
The Motley Fool
2026-02-09
Company data provided by crunchbase