CareerPlan

Machine Learning Engineer III - Unpublished R&D Product

Los Angeles, USAFull-time2026-10-09 → 2026-11-10

Core

Own the strategy, design, and implementation of ML capabilities for an unpublished R&D game project to enable great player experiences.

Role type

Staff Machine Learning Engineer (R&D)

Builds

ML-driven solutions for a new game product

Domain

Video Games / Reinforcement Learning

Deliverable

production ML models

Required skills

Reinforcement Learning, Production ML systems, Python, PyTorch, TensorFlow, Cross-disciplinary collaboration, Technical strategy, Experiment design, Code quality, Mentorship

Preferred skills

Multi-agent RL, AAA game engine experience (Unity/Unreal), C++, MLOps/Infrastructure, Developer tooling, Framework-level UI systems

Responsibilities

Refine modeling and feature strategy for reinforcement learning; Establish pipeline architecture patterns and build reusable training/evaluation pipelines; Drive application of ML/RL systems to improve decision-making; Establish research-to-production practices; Define reliability standards; Mentor engineers and partner disciplines; Identify technical risks and propose solutions.

Seniority

Staff, hands-on IC with strategy & mentorship