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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 package
- Full 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 markets
- Employee Stock Ownership Program
- Dedicated Engagement Manager who is committed to you and your success.
- Medical, Dental, Vision, and Life Insurance
- ClearlyRated’s Best of Staffing® Client and Talent Award winner 12 years in a row.