Senior Machine Learning Engineer - Platform and Integrations
Technology
Job Description
Title: Senior Machine Learning Engineer - Platform and Integrations\n
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Industry: Gaming\n
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Location: Santa Monica, CA\n
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Duration: 12 months\n
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Responsibilities
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- Build and operate distributed ML training systems across multi-node GPU clusters and scale game simulation environments for parallel rollouts, data collection, and policy evaluation.
- Develop automated ML pipelines supporting data and model versioning, validation, experiment tracking, and governance.
- Build and optimize inference-serving systems for latency, cost, accuracy, and reliability.
- Create developer tools, SDKs, and templates that streamline the ML development lifecycle.
- Monitor system health, troubleshoot production issues, improve performance, implement security controls, and mentor engineers.
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Requirements
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- Bachelor’s degree in Computer Science or a related field, or equivalent experience, with 3+ years of software engineering experience in ML, platform, or systems engineering.
- Experience operating distributed systems and production GPU workloads, including distributed machine learning or agent training using reinforcement learning or imitation learning.
- Strong Python skills, working knowledge of C++, and experience with PyTorch, Ray or RLlib, and multi-node GPU orchestration.
- Ability to work across ML training, evaluation, inference, and infrastructure, with experience in resource optimization, model evaluation, or ML governance.
- Strong technical communication and documentation skills; experience with game AI, game simulation, Unreal Engine, real-time interactive environments, or self-service ML platforms is desirable.
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Skills
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- Distributed ML
- GPU Clusters
- Reinforcement Learning
- Imitation Learning
- PyTorch
- Python
- C++
- Ray/RLlib
- Inference Serving
- ML Platform Engineering
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Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.\n
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