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Key job responsibilities
- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.
- 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 ML, RL and Gen AI services that could be leveraged by the project or the organization.
A day in the life
- You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 6+ years of applied research experience
- 3+ years of experience in mentoring junior colleagues or contributing as a leader by interviewing, managing a team or similar
- 1+ years of experience in Game development (or similar entertainment field) including working with game designers and artists
- PhD degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field
- 1+ year of experience building applications to use generative AI models via prompt engineering, RAG, RLHF, fine tuning or other modern approaches
- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning
- Experience building player facing ML/AI products for games
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