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Remote Machine Learning Ops Engineer Jobs in Alameda, CA

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

Senior Machine Learning Engineer Brisbane, California At Freenome, we are seeking a Senior Machine ... remote. What You'll Do: * Implement and refine DL pipelines on distributed computing platforms ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Location and travel We have a lovely office in Oakland, CA, but we also have remote employees ...

Bill.com

Senior Machine Learning Engineer

San Jose, CA · On-site +1

$161K - $194K/yr

Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders ... As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ...

BMW

Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $224K/yr

Proficiency in programming languages relevant to AI, Machine Learning and Application Development ... remote work capability (hybrid). WHAT YOU CAN LOOK FORWARD TO. * Medical, Dental, and Vision ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

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 ...

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Remote Machine Learning Ops Engineer information

See Alameda, CA salary details

$35.7K

$145.9K

$219.3K

How much do remote machine learning ops engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote machine learning ops engineer in Alameda, CA is $145,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $175,700.00 per year, depending on experience, location, and employer.
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Remote Machine Learning Ops Engineer jobs near you

Principal Machine Learning Engineer

NxT Level

San Francisco, CA • On-site, Remote

Other

Posted 8 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