Amazon Senior Applied Scientist Amazon Games Generative AI 

United States, California, San Diego 

561290547

Key job responsibilities
- Drive, design, develop, and support highly ambiguous and complex generative AI services for games using AWS or local hardware resources.- Stay up to date with and analyze the latest advancements in generative AI technology and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.- Consult and contribute to evaluations of other internal or 3rd party generative AI services that could be leveraged by the project or the organization.
- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.
- Assess costs (both monetary and environmental) of generative AI features.
A day in the life
- You deliver great workflows and tools to your fellow developers and constantly seek improvement.- Your day-to-day involves working closely with designers and artists to unlock generative AI features and tools; this involves a few regular meetings but mostly a lot of interaction either face-to-face or invirtual channels - the structure of your day includes these interactions but also a lot of focus time in implementing these ideas.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- PhD or Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field and 6+ years of Research Experience
- Experience utilizing ML frameworks (i.e. PyTorch, TensorFlow, Keras, or similar)
- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning
- Experience in designing, deploying ML/AI services and making them ready for production

- One or more years of building applications to use generative AI models via prompt engineering, RAG, RLHF, fine tuning or other modern approaches
- Experience in designing, deploying generative AI services and making them ready for production
- Experience building ML/AI products for games
- Experience working with Game development teams including game designers and artists
- Proven analytical and quantitative skills; experience in data collection, model building, testing and validation
- Proficiency in software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in communicating with peers, technical teams, and senior management to collect requirements and describe software product features, technical designs, and product strategy
- Proven experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar