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Machine Learning Engineer
Machine Learning EngineerAbsurd Ventures • Santa Monica, CA, United States
Machine Learning Engineer

Machine Learning Engineer

Absurd Ventures • Santa Monica, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Summary

We are seeking a Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning. As Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems in to our workflow and the run-time game. 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.

Core Qualifications

  • 3+ years of machine learning experience with experience integrating models into real-time or interactive environments a plus.
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow.
  • Expertise in C++ and strong knowledge of modern software engineering practices.
  • 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.

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