ZipRecruiter

Log In

2

Work From Home Machine Learning Jobs in California

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

Flexible work environment - work from our office in Oakland or remotely as long as you can travel ... A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

This position offers an opportunity to work at the forefront of generative modeling research across ... Previous experience in data extraction and curation from bioinformatics data sources * Familiarity ...

Amgen, Inc.

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site +1

$96K - $131K/yr

Machine Learning Scientist What you will do Let's do this. Let's change the world. Within Amgen ... What you can expect from us As we work to develop treatments that take care of others, we also work ...

S.T.E.P.

Senior Machine Learning Engineer

Palo Alto, CA · On-site +1

You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection ... These models protect Step and our customers from fraud and financial loss. You'll take the lead in ...

next page

Showing results 1-20

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 14, 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 Scientist, Reinforcement Learning

Profluent

Emeryville, CA • On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
  • Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design
  • Collaborate across the machine learning and protein design teams to adapt and improve reinforcement learning techniques from other domains to protein design
  • Architect, implement, and optimize core infrastructure to support the post-training of protein language models
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications
  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences (but not required)
  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$200,000-$330,000 USD

Apply