Staff Machine Learning Engineer - Unpublished R&D Product

Los Angeles · 3+ years experience · Posted Oct 9, 2026

At a glance

As a Staff Machine Learning Engineer on an unpublished R&D game project, you will own the strategy, design, and implementation of ML capabilities.
You will work closely with developers, designers, and data scientists to conceptualize, plan, implement, and maintain ML-driven solutions.
The role focuses on applying ML techniques pragmatically to challenging product problems to enable great player experiences.

Work closely with developers, designers, and data scientists to identify and define improvement opportunities
Refine modeling and feature strategy for using techniques such as reinforcement learning
Establish pipeline architecture patterns in partnership with central teams; build reusable training and evaluation pipelines
Drive the application of ML/RL systems to improve decision-making and adaptation
Establish research-to-production practices; balance cutting-edge techniques with production reliability
Establish evaluation practices in partnership with data scientists and analytics partners; guide experiment design
Define reliability standards in partnership with design and engineering
Advance and strengthen engineering best practices, including code quality, automated testing, and maintainable architecture
Mentor engineers and partner disciplines through documentation, reviews, and technical design guidance
Identify technical risks and bottlenecks, proposing pragmatic solutions

6+ years of experience delivering ML systems in production
3+ years in applied modeling or ML research roles, ideally within real-time or interactive environments
Experience with reinforcement learning, including applying RL to practical production problems
Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences
Proficiency with modern ML/data science libraries and frameworks such as PyTorch, TensorFlow, pandas, etc.
Experience collaborating regularly with teammates across multiple disciplines
Strong communication skills across technical and non-technical audiences
B.S. in Computer Science or equivalent experience
Proficiency in Python or similar programming languages

Experience with multi-agent reinforcement learning
Experience in developer tooling
Experience implementing framework-level UI systems
Experience in infrastructure and MLOps, such as ML cloud services, containers, and model telemetry
Experience working in a AAA game engine (e.g. Unity, Unreal)
Proficiency in C++