Amazon · 11 hours ago
Applied Scientist, Amazon Ads, Demand Forecasting & Guidance
Palo Alto, California, USA
Full-time
Onsite
Mid, Senior Level
$172K/yr - $222K/yr
3+ years expAmazon is a leading technology company, and they are seeking an Applied Scientist to work at the intersection of Generative AI and large-scale ML to enhance their advertising business. The role involves leading ML initiatives, developing forecasting models, and establishing scalable ML infrastructure to improve ad delivery and operational efficiency.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead and contribute to end-to-end ML initiatives with high ambiguity, scale, and complexity from problem formulation through production deployment
Develop and optimize forecasting models by performing hands-on analysis of large-scale datasets to improve ad delivery prediction accuracy and operational efficiency
Build, experiment, and deploy machine learning models through rapid prototyping, rigorous experimentation, and close collaboration with software engineering teams for seamless productization
Design and execute A/B experiments, collect performance data, and conduct statistical analysis to validate model impact
Establish scalable ML infrastructure including automated pipelines for data processing, model training, validation, and serving
Advance the state of the art by researching innovative machine learning techniques and applying them to forecasting challenges
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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
Experience in designing experiments and statistical analysis of results
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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
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