Software Development Engineer, Prime Video Personalization & Discovery

- 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
- 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

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USA, NY, New York - 184,900.00 - 250,200.00 USD annually
Prime Video Personalization and Discovery (PVPD) is seeking a Senior Software Development Engineer to join a small, high-caliber team building the next generation of Prime Video's AI-powered content discovery experience. We are reinventing how customers find something to watch: instead of browsing and scrolling, customers tell Prime Video what they're in the mood for, through natural language conversation, personalized prompts, and interactive recommendations woven directly into the product. You'll work alongside a hand-picked group of senior engineers and applied scientists, each bringing deep expertise in their domain, moving fast on a high-visibility initiative with significant ambiguity. You'll own your area of the system end-to-end: designing, building, and operating the services that combine large language models with Prime Video's personalization, catalog, and engagement signals to deliver conversational discovery at massive scale.

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