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Remote Machine Learning Jobs in California (NOW HIRING)

Profluent

Machine Learning Scientist

Emeryville, CA · On-site +1

$180K - $250K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110.10K - $150.40K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199.68K - $283.50K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in California

Remote Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What job categories do people searching Remote Machine Learning jobs in California look for? The top searched job categories for Remote Machine Learning jobs in California are:
What cities in California are hiring for Remote Machine Learning jobs? Cities in California with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in California as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Principal Machine Learning Engineer

NxT Level

San Francisco, CA • On-site, Remote

Other

Posted 20 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