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Work From Home Machine Learning Jobs in California

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

Autodesk

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

You will work end to end, from data exploration and hypothesis formation through modeling ... As a Senior Machine Learning Engineer, you will also help influence technical direction by sharing ...

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All JobsWork From Home Machine Learning JobsWork From Home Machine Learning Jobs in California

Work From Home Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do work from home machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for work from home 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.

Can I learn ML in 3 months?

Learning machine learning for a work-from-home role typically requires several months of dedicated study, including understanding algorithms, programming in Python or R, and working with data. While intensive bootcamps or courses can provide foundational knowledge in 3 months, gaining proficiency for a job usually takes longer and involves practical experience and projects.

What is a Work From Home Machine Learning job?

A Work From Home Machine Learning job allows professionals to develop, train, and deploy machine learning models remotely. These roles typically involve tasks such as data preprocessing, model selection, optimization, and performance evaluation. Common industries for remote ML jobs include tech, healthcare, finance, and e-commerce. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms are often required. Remote ML engineers collaborate with data scientists, software engineers, and business analysts to create AI-driven solutions.

Is ML a high paying job?

Machine Learning (ML) jobs are generally considered high paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries can vary based on experience, location, and company size, but many ML roles offer competitive compensation compared to other tech positions.

What are the main challenges of working remotely in a machine learning role?

One of the main challenges of working remotely in a machine learning role is maintaining effective collaboration and communication with team members across different locations and time zones. Without face-to-face interactions, it can be more difficult to brainstorm, review complex models, or debug issues collaboratively. To overcome these obstacles, remote machine learning professionals frequently use project management tools, version control systems, and video conferencing to stay in sync with their teams. Strong self-motivation, proactive communication, and time management are essential for staying productive and connected while working from home.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or at top tech companies. Achieving this level often requires a combination of technical mastery, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive in the Work From Home Machine Learning position, and why are they important?

To thrive as a Work From Home Machine Learning professional, you need a strong background in mathematics, programming (Python or R), and experience with machine learning algorithms, typically backed by a degree in computer science or related fields. Technical proficiency with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valuable. Excellent communication, problem-solving abilities, and self-discipline help you collaborate remotely and manage projects independently. These skills ensure you can effectively build and deploy models, overcome technical challenges, and contribute to distributed teams in a virtual setting.

Which 3 jobs will survive AI?

Work From Home Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are likely to persist as they require advanced analytical skills, domain expertise, and ongoing innovation. These jobs involve designing, developing, and maintaining AI systems, which are less susceptible to automation due to their complexity and need for human judgment. Continuous learning and proficiency with programming languages like Python and tools such as TensorFlow are essential for these roles.
What are popular job titles related to Work From Home Machine Learning jobs in California? For Work From Home Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Work From Home Machine Learning jobs in California look for? The top searched job categories for Work From Home Machine Learning jobs in California are:
What cities in California are hiring for Work From Home Machine Learning jobs? Cities in California with the most Work From Home Machine Learning job openings:
Work From Home Machine Learning jobs near you
Infographic showing various Work From Home Machine Learning job openings in California as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Posted 16 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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