Senior Machine Learning Engineer

2 Months ago • 5 Years + • $165,000 PA - $200,000 PA
Research Development

Job Description

We are seeking a Senior Machine Learning Engineer to shape the future of content systems and real-time gameplay using cutting-edge machine learning. You will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems, playing a key role in evolving how games are built and experienced. Responsibilities include developing and implementing ML strategies, designing and deploying LLM techniques, building pipelines for training and inference, and analyzing gameplay telemetry. You will also develop internal ML tools and mentor junior engineers.
Good To Have:
  • Unreal Engine toolset experience
  • ML tools in game development
  • Knowledge of generative models
  • LLM integration for interactive narrative
Must Have:
  • 5+ years of ML experience
  • 2+ years integrating models into real-time environments
  • Strong C++ programming
  • Proficient in Python and ML libraries
  • Familiarity with training/deploying models for real-time inference
  • Understanding of ML concepts
  • Bachelor's or Master's degree in CS/ML
Perks:
  • Full-time job with benefits
  • Vacation time
  • Sick time
  • Company holidays
  • Parental leave
  • Medical/dental/vision insurance
  • Life insurance
  • Disability insurance
  • 401(k) matching

Add these skills to join the top 1% applicants for this job

cpp
unreal
pytorch
reinforcement-learning
blueprints
python
tensorflow
machine-learning

Summary 

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems. You will be a key player in evolving how our games are built and experienced. 

Core Responsibilities 

  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and gameplay.  Educate the team on what is possible with ML. 
  • Design and deploy LLM techniques and develop models to drive in-game systems such as procedural content, adaptive NPC behavior, and player customization. 
  • Develop and maintain a local model and MCPs that can be trained on our code and game data to enable workflow acceleration. 
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference. 
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors and dynamic environments. 
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. 
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. 
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms. 
  • Mentor junior engineers and promote best practices in integrating ML within the game engine. 

Core Qualifications 

  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. 
  • Strong C++ programming experience. 
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow. 
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. 
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. 
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 

Plus If 

  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). 
  • Experience building or using ML tools in a game development context.  
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. 
  • Background in LLM integration for real-time interactive narrative or dialogue systems. 

Description 

  • Full-time job with benefits. 
  • Role is on-site in Santa Monica, CA. 
  • Office is located near downtown Santa Monica – near metro and freeways. 

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity. 

Set alerts for more jobs like Senior Machine Learning Engineer
Set alerts for new jobs by Absurd Ventures
Set alerts for new Research Development jobs in United States
Set alerts for new jobs in United States
Set alerts for Research Development (Remote) jobs

Contact Us
hello@outscal.com
Made in INDIA 💛💙