Applied Scientist II, US Prime and Marketing Tech

Seattle, WA (On-site)

$143K/yr – $193K/yrMid Level1+ years expFull time

Posted 12 hrs ago

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Job Summary

Own and build scalable ML driven marketing and merchandising services at Amazon, from design to deployment, enabling intelligent campaigns and personalized shopping experiences across global marketplaces.

Lead data driven ML solution design and deployment
Translate business context into algorithmic decisions
Tackle hard problems and decompose into practical solutions

Job Description

Responsibilities

you will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising.
Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.
Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation.
As an Applied Scientist, you bring business and industry context to science and technology decisions.
You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms.
Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility.
You tackle intrinsically hard problems, acquiring expertise as needed.
You decompose complex problems into straightforward solutions.

Requirements

PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application

Preferred

Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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
parantal leave
sign-on payments and restricted stock units (RSUs)
Learn more about our benefits at https://amazon.jobs/en/benefits.

Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science