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Senior Machine Learning Engineer - Platform and Integrations

JBC powered by WorkgeniusSanta Monica, CA🇺🇸United StatesPosted 27 Aug 2026

Quick Overview

Salary
$83 - $112/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Santa Monica, CA, United States
Posted
Yesterday
Machine LearningC++PyTorchPythonUnreal Engine

Job Description

Senior Machine Learning Engineer - Platform and Integrations with top AAA Gaming Company

 

Title: Senior Machine Learning Engineer - Platform and Integrations

Industry: Gaming

Location: Los Angeles, California

Duration: 12 months

Pay Rate: $82.63-$111.92/HR (W2 ONLY)

Responsibilities: 

  • Build and operate distributed ML training systems across multi-node GPU clusters.
  • Scale game simulation environments for parallel rollouts, data collection, and policy evaluation.
  • Develop automated ML pipelines for data/model versioning, validation, and experiment tracking.
  • Build inference serving systems optimized for latency, cost, and accuracy.
  • Create developer tools, SDKs, and templates that streamline the ML development lifecycle.
  • Monitor system health, diagnose production issues, and improve reliability and performance.
  • Implement security, governance, and compliance controls for ML systems.
  • Mentor engineers and contribute to technical recruiting and interviews.

Requirements:

  • Bachelor’s degree in Computer Science or related field, or equivalent experience.
  • 3+ years of software engineering experience with a strong background in ML, platform, or systems engineering.
  • Experience operating distributed systems and GPU workloads in production.
  • Experience with distributed ML/agent training, including RL or IL.
  • Strong Python skills, working knowledge of C++, and experience with PyTorch.
  • Familiarity with Ray/RLlib, multi-node GPU orchestration, and resource optimization.
  • Ability to work across ML training, evaluation, inference, and infrastructure.
  • Strong technical communication and documentation skills.

Preferred:

  • Experience with game AI, game simulation, Unreal Engine, or real-time interactive environments.
  • Experience with inference serving, model evaluation, ML governance, or self-service ML platforms.
  • Passion for games, player experience, or creative technology.

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

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