Senior Machine Learning Engineer - Platform and Integrations

Title: Senior Machine Learning Engineer - Platform and Integrations

Industry: Gaming

Location: Santa Monica, CA

Duration: 12 months

Responsibilities

• 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.

Requirements

• 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.

Skills

• Distributed ML
• GPU Clusters
• Reinforcement Learning
• Imitation Learning
• PyTorch
• Python
• C++
• Ray/RLlib
• Inference Serving
• ML Platform Engineering

Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.

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