Applied Scientist II, US Prime and Marketing Tech
About The Position
The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside advanced tools for marketers. 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. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. 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
Nice To Haves
- 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
Responsibilities
- Creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising.
- Enabling intelligent marketing campaigns that leverage machine-learning models.
- Delivering the best possible shopping experience for Amazon’s customers all over the globe.
- Identifying specific and actionable opportunities to solve existing business problems and look around corners for future opportunities.
- Designing, developing, testing, and deploying data-driven and highly scalable machine learning solutions in product recommendation.
- Bringing business and industry context to science and technology decisions.
- Setting the standard for scientific excellence and making decisions that affect the way we build and integrate algorithms.
- Tackling intrinsically hard problems, acquiring expertise as needed.
- Decomposing complex problems into straightforward solutions.
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
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
