Senior ML Engineer — Platform & Integrations

IDR is seeking a Senior ML Engineer — Platform & Integrations to join one of our top clients for an opportunity in Los Angeles, California. This role involves developing and maintaining machine learning systems at a global scale within a dynamic gaming industry environment. The position offers a chance to work with innovative ML techniques such as reinforcement learning and imitation learning to advance game understanding agents and optimize ML infrastructure.Position Overview for the Senior ML Engineer — Platform & Integrations:Build and operate distributed training systems for game AI agents across multi-node GPU clusters, integrating with RL/IL frameworks.Design and manage large-scale game simulation environments for parallel rollouts, experience collection, and policy evaluation.Develop automated ML pipelines for version control, validation, and experiment tracking of models and data.Build serving systems focusing on model inference, including version routing, fallback behavior, and latency/accuracy optimization.Create developer tools, SDKs, and templates to streamline the agent development and deployment process, gathering feedback to validate adoption.Define system health indicators, drift detection metrics, training diagnostics, and establish alerting protocols.Produce comprehensive documentation for models and systems, ensuring transparency and ease of understanding.Manage and resolve production incidences like training instability, reward degradation, and policy regressions.Collaborate with security, compliance, and privacy teams to implement governance and security controls.Mentor junior ML engineers, participate in recruitment efforts, and contribute to interview processes.Requirements for the Senior ML Engineer — Platform & Integrations:Bachelor's degree in Computer Science, related field, or equivalent experience.3+ years of software engineering experience, with substantial ML engineering, platform, or systems expertise.Proven ability to operate distributed systems in production effectively.Experience with distributed training of ML agents, including RL, IL, or other paradigms at scale.Proficiency in Python and working knowledge of C++, with a willingness to engage with game engine technologies (e.g., Unreal Engine).Hands-on experience with ML frameworks (e.g., PyTorch), distributed RL/IL training frameworks (e.g., Ray/RLlib).Experience with GPU workloads, multi-node orchestration, and resource optimization.Ability to work across the entire stack, from training algorithms to production infrastructure.Strong written communication skills for system documentation and standards.Experience with game simulation or AI is a plus.Background in inference serving, model evaluation frameworks, or ML governance is advantageous.Prior success in building greenfield platforms or self-service ML capabilities is a plus.Passion for player experience, games, or innovative technology.What's in it for you?Competitive compensation packageFull Benefits; Medical, Vision, Dental, and more!Opportunity to get in with an industry leading organization.Why IDR?25+ Years of Proven Industry Experience in 4 major marketsEmployee Stock Ownership ProgramDedicated Engagement Manager who is committed to you and your success.Medical, Dental, Vision, and Life InsuranceClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.