Senior Machine Learning Engineer, Game Understanding
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Lead the design, implementation, and deployment of game understanding models inside a real-time engine to enable richer semantics, player experiences, and content discovery.
Own end-to-end projects—from data curation and model development to production deployment and monitoring.
Collaborate with ML researchers, engine teams, designers, and product managers to translate research into production-ready capabilities.
Define modular, scalable AI systems with a focus on real-time performance and safety within dynamic game environments.
Establish best practices for model evaluation, simulation-based testing, and ML safety.
Contribute to the long-term roadmap for agentic AI offerings, prioritizing usability, extensibility, and cross-platform performance.
Own end-to-end projects—from data curation and model development to production deployment and monitoring.
Collaborate with ML researchers, engine teams, designers, and product managers to translate research into production-ready capabilities.
Define modular, scalable AI systems with a focus on real-time performance and safety within dynamic game environments.
Establish best practices for model evaluation, simulation-based testing, and ML safety.
Contribute to the long-term roadmap for agentic AI offerings, prioritizing usability, extensibility, and cross-platform performance.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
Already have an account? Log in
Similar openings
Other roles that could suit you.