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Assistant Remote Machine Learning Engineer Jobs in California

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site +1

$124K/yr

Integrate Machine Learning and AI systems with production applications * Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering ...

Uber

Machine Learning Engineer II

San Francisco, CA · On-site +1

As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems.**What You'll do**- Innovate and productionize start-of-the-art ...

Uber

Machine Learning Engineer II

Sunnyvale, CA · On-site +1

As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems.**What You'll do**- Innovate and productionize start-of-the-art ...

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All JobsAssistant Remote Machine Learning Engineer JobsAssistant Remote Machine Learning Engineer Jobs in California

Assistant Remote Machine Learning Engineer information

What are the most commonly searched types of Remote Machine Learning Engineer jobs in California? The most popular types of Remote Machine Learning Engineer jobs in California are:
What cities in California are hiring for Assistant Remote Machine Learning Engineer jobs? Cities in California with the most Assistant Remote Machine Learning Engineer job openings:
Assistant Remote Machine Learning Engineer jobs near you
Infographic showing various Assistant Remote Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Principal Machine Learning Engineer

NxT Level

San Francisco, CA • On-site, Remote

Other

Posted 17 days ago

Job description

Position Overview:
Our client is seeking a Principal Software Engineer focused on backend development to help us build the infrastructure behind their AI-powered game generation tools. This role will involve the design and development of backend systems, focusing on performance, scalability, and state-of-the-art machine learning integration. You will collaborate with their founders and AI experts to develop and deploy AI-driven features that elevate online multiplayer experiences.

Key Responsibilities:

  • Lead the design, development, and optimization of scalable backend services for machine learning-based video game engines.
  • Create and maintain backend APIs and server-side components to support AI-powered game generation tools.
  • Collaborate with AI teams to integrate advanced machine learning models into game development pipelines.
  • Develop and optimize data pipelines for high-volume, real-time data streaming and machine learning applications.
  • Ensure applications meet high-performance standards and are optimized for reliability in live game environments.
  • Actively participate in the prototyping and iteration of new AI features in a fast-paced, product-driven environment.
  • Lead initiatives to create bespoke training datasets for AI models, ensuring they are effective in real-time gameplay scenarios.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field. An advanced degree focused on AI/ML is a plus.
  • 5+ years of experience developing backend systems, with expertise in Python, Golang, or Node.js.
  • Deep experience with machine learning, model training, and inference workflows, with a focus on real-time, high-performance applications.
  • Experience working with cloud providers (preferably AWS) and DevOps tools such as Kubernetes for managing scalable infrastructures.
  • Proven experience integrating AI models, such as GPT or Stable Diffusion, into production environments.
  • Strong problem-solving skills and attention to detail, with a track record of delivering production-ready systems.
  • Experience with large-scale data processing frameworks and tools such as Langchain, Pinecone, or Gantry.
  • A passion for video games and deep enthusiasm for innovative game development technologies.

Why Join Us:

  • Be part of a groundbreaking team working on the future of AI-powered game creation.
  • Collaborate with industry veterans and top-tier AI experts.
  • Flexible work environment with options for remote work.
  • Competitive salary and benefits, with Riot-level compensation.

    Apply