• Senior Software Engineer - Machine Learning…

    Motion Recruitment Partners (Los Angeles, CA)


    Senior Software Engineer - Machine Learning / Remote / Gaming/ MLOps

     

    Los Angeles, California

     

    Open to Remote

     

    Contract

     

    $110/hr - $130/hr

    Job Description

    This is a full-time, 12-month contract role with a leading global video game developer and publisher, renowned for creating competitive, genre-defining multiplayer titles. The company fosters a collaborative, player-focused culture where cutting-edge technology meets immersive gameplay. You will join a specialized machine learning engineering team that builds large-scale ML systems to enhance competitive gameplay experiences. This role offers the opportunity to work on a major fighting game title ahead of its launch, developing advanced AI systems that challenge and engage players.

     

    The position is fully remote within the U.S., with occasional on-site visits for whiteboarding sessions or key collaboration points. Flexible hours are available to accommodate project needs, with a focus on delivering high-quality, scalable ML solutions in a fast-moving game development environment.

     

    **Contract Duration:** 12 months (possibility to convert to full-time)

    Required Skills & Experience

    + Proven experience delivering large-scale, end-to-end ML systems

    + Strong infrastructure skills, particularly in MLOps with an AI/ML perspective

    + Proficiency in at least one of the following: Java, C++, Python, C#, or SQL

    + 2+ years’ experience with ML pipelines and common tooling such as MLflow

    + Familiarity with PyTorch or TensorFlow

    + Experience working with or designing large-scale LLM systems

    Preferred Skills & Experience

    + Bachelor’s degree in Computer Science or related field

    + 2–3 years of applied machine learning experience

    + Background or strong interest in the gaming industry

    + Exposure to reinforcement learning (selling point, not required for interview)

    + Familiarity with Unreal Engine

    + Comfort with large, complex programming challenges and systems

    What You Will Be Doing – Daily Responsibilities

    + Design, develop, and optimize ML systems that directly enhance in-game AI behavior for a competitive fighting game

    + Implement reinforcement learning–based policies to improve gameplay experiences and provide advanced training tools for players

    + Collaborate with game engineers, researchers, and product managers to integrate ML models into core gameplay systems

    + Build and maintain ML pipelines, ensuring scalability and performance for launch-ready systems

    + Work closely with the ML Pods team to deliver high-quality AI features under tight timelines

    + Troubleshoot, refine, and iterate on ML systems to meet competitive gameplay standards

    Tech Breakdown

    + 50% ML system design and optimization (ML pipelines, reinforcement learning, LLM integration)

    + 30% Infrastructure and MLOps (scaling, deployment, orchestration)

    + 20% Collaboration with game engineering, research, and product teams

    You Will Receive the Following Benefits:

    + Medical, Dental, and Vision Insurance

     

    Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.

    You will receive the following benefits:

    + Medical Insurance - Four medical plans to choose from for you and your family

    + Dental & Orthodontia Benefits

    + Vision Benefits

    + Health Savings Account (HSA)

    + Health and Dependent Care Flexible Spending Accounts

    + Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance

    + Hospital Indemnity Insurance

    + 401(k) including match with pre and post-tax options

    + Paid Sick Time Leave

    + Legal and Identity Protection Plans

    + Pre-tax Commuter Benefit

    + 529 College Saver Plan

     

    Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

     

    **Posted by:** Maddie Hausberg

    Specialization:

    + Machine Learning/Data Science