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Applied Scientist II - Gen AI & LLM, PXT

ID: 5056

Type: Full-time

Category: Others

Company Name: Amazon.com Services LLC - A57

Location: USA, WA, Seattle - Seattle - United States

Salary: 142,800.00 - 193,200.00 USD annually

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Job Description

Amazon is seeking an Applied Scientist II to join our team and drive innovation in Generative AI and Large Language Model (LLM) applications. In this role, you will design, develop, and deploy AI solutions that directly impact millions of customers and transform how Amazon operates at scale. You'll work with state-of-the-art technologies including foundation models, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to solve complex business problems.

Key job responsibilities
• Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT, LLaMA) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools
• Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation
• Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency
• Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact
• Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization
• Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact
• Documentation & Communication: Publish technical papers, create detailed documentation, and present findings to both technical and non-technical audiences

Basic Qualifications

- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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 Qualifications

- PhD in computer science, machine learning, engineering, or related fields
- 2+ years of hands-on experience with foundation models and LLM applications (prompt engineering, RAG, fine-tuning, RLHF, Transformer models, and AI Agents)
- Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, etc.)
- Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, COLM, etc.)
- Experience with model optimization techniques (quantization, distillation, efficient inference)
- Knowledge of responsible AI practices including bias detection, fairness, and safety evaluation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Company Information

Company Name: Amazon.com Services LLC - A57

Company Website: https://www.amazon.com

Company Address: 410 Terry Avenue North, Seattle, WA 98109, United States

Amazon.com Services LLC is a principal operating subsidiary within the broader Amazon corporate family that supports and delivers a wide range of e-commerce and related services for Amazon’s retail and marketplace operations. Formed as a limited liability company under U.S. law, Amazon.com Services LLC serves as an operational vehicle through which Amazon provides platform services to third-party sellers, facilitates retail transactions, manages logistics and fulfillment operations, and supports the consumer-facing online storefronts hosted at Amazon.com. As part of Amazon’s corporate structure, Amazon.com Services LLC participates in the company’s mission and commercial activities that enable millions of customers and sellers to buy and sell goods worldwide. At a high level, Amazon.com Services LLC’s core business activities encompass the digital marketplace and associated services that are central to Amazon’s e-commerce ecosystem. These activities include enabling and managing the third-party seller marketplace (the platform on which independent merchants list products for sale alongside Amazon’s direct retail offerings), administering seller-facing programs such as seller account management and performance tools, and providing fulfillment services such as Fulfillment by Amazon (FBA), where warehousing, picking, packing, and shipping are handled through Amazon’s logistics network. The company’s responsibilities also commonly include elements of payments processing, transaction settlements between buyers and third-party sellers, customer service interfaces related to marketplace transactions, and enforcement of marketplace policies and standards to maintain trust and safety on the platform. In operational terms, Amazon.com Services LLC supports a set of products and services aimed at both consumers and business partners. For consumers, the principal product is the shopping experience on Amazon’s sites and apps—search, product detail pages, shopping cart, checkout, order tracking, returns, and customer support—powered by underlying services that Amazon.com Services LLC helps to administer. For third-party sellers and businesses, the company provides onboarding and account management services, inventory and order management tools, access to fulfillment and shipping options (including FBA), reporting and analytics tools, dispute resolution and seller support channels, and services tied to advertising and promotional placements on Amazon’s platform. The company’s work supports integration points for developer partners and software vendors that build seller tools, inventory management systems, and analytic integrations for marketplace participants. Amazon.com Services LLC operates within an environment that heavily leverages technology to scale retail operations. Key technological elements tied to its activities include catalog management systems, search and recommendation engines, merchant dashboards and APIs, order-routing and fulfillment orchestration systems, and tools for fraud detection and policy enforcement. While Amazon maintains various distinct corporate entities and product lines across retail, cloud computing, devices, and media, Amazon.com Services LLC’s primary orientation is toward enabling and executing e-commerce operations on behalf of Amazon’s retail and marketplace businesses. This includes coordination with Amazon’s logistics facilities (fulfillment centers and delivery networks), supply-chain partners, and customer-care operations to deliver end-to-end retail experiences. Amazon.com Services LLC also plays a role in Amazon’s commercial and regulatory interactions tied to marketplace operations. As an operating entity, it participates in contractual relationships with sellers and service providers, implements platform-level policy changes, and is involved in local and international compliance matters where Amazon’s marketplace and retail operations are active. Through these functions, the entity helps implement Amazon’s broader policies around product listings, seller performance standards, consumer protections, and marketplace integrity—elements that are foundational to maintaining a large-scale online retail marketplace. Geographically, Amazon.com Services LLC contributes to operations across many of Amazon’s global markets by supporting localized marketplace features, cross-border selling programs, and logistics solutions tailored to regional requirements. Its activity set is integrated with Amazon’s global investments in fulfillment infrastructure, transportation networks, and customer support operations. This integration allows Amazon to offer services such as fast delivery (including Prime-specific benefits where applicable), multi-channel fulfillment, and international shipping options that depend on the coordination of marketplace services with physical logistics. Finally, Amazon’s stated corporate mission—posted on Amazon’s official channels as seeking to be “Earth’s most customer-centric company”—provides context for the role of Amazon.com Services LLC within the wider organization: delivering a reliable, convenient, and expansive shopping experience to consumers while enabling millions of businesses worldwide to reach customers through Amazon’s platforms. As such, Amazon.com Services LLC is an important operational element underpinning Amazon’s e-commerce capabilities, focused on marketplace enablement, fulfillment and logistics coordination, seller services, and the technology-driven systems that make large-scale online retail feasible and efficient.
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