Amazon is seeking a Senior Machine Learning Engineer to drive AI integration in its Amazon Luna and Prime Gaming business, creating new types of Gen AI native games and gameplay experiences and enhancing productivity of internal teams.
Requirements
- 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
- Demonstrated ability to work with large language models, multimodal models, and foundation model customization for specific use cases
- Experience designing and implementing ML pipelines, model training workflows, and automated evaluation systems
- Strong understanding of responsible AI practices, model safety, content filtering, and guardrail implementation
Responsibilities
- Drive platform architecture decisions - Define build vs buy vs borrow frameworks to help teams architect the optimal AI stack per use case; contribute to technical design reviews and architectural decisions
- Partner directly with game developers and platform teams - Collaborate with internal and external gaming teams to understand specific use cases, translate requirements into technical solutions, and optimize foundational models through fine-tuning and distillation
- Design and implement trust and safety frameworks - Architect comprehensive safety solutions that balance model prompting, fine-tuning techniques, and built-in guardrails to ensure responsible AI deployment while maintaining optimal user experiences
- Drive performance optimization - Design core platform components that deliver minimal latency, high throughput, and cost-effective solutions at scale.
- Shape product strategy through tech insights - Engage with game developers to understand future requirements and use cases, matching that with tech trends, providing strategic input on which models and capabilities our platform should prioritize and support
- Lead internal GenAI adoption and evangelization - Champion the adoption of GenAI tools across internal teams, conduct technical workshops, and drive productivity improvements through effective implementation of AI capabilities
- Deliver end-to-end technical solutions - Own the complete lifecycle from proof-of-concept to production deployment, including model selection, customization, integration, and continuous improvement based on performance metrics
Other
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Background in gaming, with a passion for building features that engage and delight players
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
- Excellent communication skills with ability to translate complex technical concepts to diverse stakeholders and drive technical decisions
- Passion for staying current with the latest developments in AI technologies, and applying those insights to real-world product challenges
