Role at a glance
- Job function
-
AI & Data Large Language Model (LLM) Engineering
- Salary
- Not Disclosed
- Location
- New York, New York, United States
- Work arrangement
- On-site
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Role Summary
The Senior Software Development Engineer will design, build, and operate services for Prime Video's conversational content discovery experience. The work combines large language models with personalization, catalog, and engagement signals to support discovery and recommendations.
What You'll Do
- Own design, implementation, and operation of core components of the conversational discovery platform.
- Combine LLM-based semantic understanding with personalization and ranking signals for discovery and recommendations.
- Partner with applied scientists and engineers to prototype, evaluate, and productionize personalized conversation starters,...
- Optimize LLM inference for latency, cost, and quality, and build mechanisms to evaluate relevance, personalization, diversity, and safety.
- Participate in on-call operations, analyze root causes, improve reliability, and integrate with partner systems for inference...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of non-internship professional software development experience; 5+ years of programming experience with at least one software programming language; 5+ years leading design or architecture of new and existing systems; experience as a mentor, tech lead, or leading an engineering team.
Required
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes,...
- Bachelor's degree in computer science or equivalent
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Key job responsibilities
Own the design, implementation, and operation of core components of Prime Video's conversational discovery platform, delivering production-quality systems in a fast-moving, ambiguous environment
Design hybrid approaches that combine LLM-based semantic understanding with traditional personalization and ranking signals for content discovery and recommendation
Partner closely with applied scientists and fellow senior engineers to prototype, evaluate, and productionize LLM-powered features including personalized conversation starters, natural language query understanding, multi-turn dialogue, and contextual recommendations
Optimize LLM inference for latency, cost, and quality at the scale of one of the world's largest streaming services
Build evaluation and quality-gating mechanisms that measure relevance, personalization, diversity, and safety of LLM-generated content before and after launch
Contribute significant code, conduct thorough code reviews, and raise the engineering bar across the team
Uphold operational excellence for Tier-1 customer-facing AI systems, including on-call participation, root cause analysis, and driving reliability improvements
Collaborate across team and organizational boundaries to integrate with partner systems spanning inference infrastructure, feature storage, and experimentation platforms
Basic Qualifications
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
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, NY, New York - 184,900.00 - 250,200.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.