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