Senior Machine Learning Engineer - Platform and Integrations

Hybrid in Santa Monica, CA, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
12 Months
No Travel Required
Remote
$82 - $111/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine Learning (ML)
  • PyTorch
  • Python
  • Artificial Intelligence
  • C++
  • Data Collection
  • Data Modeling
  • GPU
  • Information Security Governance
  • Orchestration
  • Optimization
  • Real-time
  • Software Engineering
  • Systems Engineering
  • Technical Communication
  • Unreal Engine

Summary

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.  

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10441030
  • Position Id: SR_ML_P&I
  • Posted 1 hour ago
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