Amazon · 1 day ago
Applied Scientist, Personalization, DTx Science
United States
Full-time
Remote
Mid, Senior Level
$136K/yr - $223K/yr
3+ years expAmazon is one of the fastest growing and most profitable businesses, focusing on advertising products that drive discovery and sales. They are seeking an accomplished machine learning expert to lead the Applied Science strategy for their recommendation creation and personalization program, working closely with cross-functional teams to deliver significant business impact using advanced data techniques.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Serve as the technical leader in Machine Learning, driving collaboration between scientists and engineers, guiding efforts within the team and collaborating with other teams
Conduct hands-on analysis and modeling of large-scale data to generate insights that boost ads revenue while maintaining a positive advertiser and shopper experience
Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity
Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production
Run A/B experiments, gather data, and perform statistical analysis to validate your models
Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving
Explore and research innovative machine learning approaches to push the boundaries of what’s possible
Qualification
Required
3+ years of building models for business application experience
PhD, or Master's degree and 5+ 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 using Unix/Linux
Experience in professional software development
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
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
TechRadar.com
2026-01-16
2026-01-16
Chicago Sun-Times - Business
2026-01-16
Company data provided by crunchbase