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Remote Data Scientist Machine Learning Jobs in Berkeley, CA

Senior Data Scientist - Identity

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, implement, and iterate on production-grade machine learning and statistical models that ... Own end-to-end data science workflows-from problem framing, data exploration, and modeling through ...

Data Scientist

Berkeley, CA ยท On-site +1

$150K - $190K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... As a Data Scientist, you will be responsible for harvesting insights from a complex array of data.

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As data volume and complexity grow, our platform enables large-scale model training, feature ... Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field * Strong ...

Remote (United States) Employment Type: Direct Hire - Full-Time Compensation: $180K-$250K - based ... Mentor, coach, and develop high-performing Machine Learning Engineers and Data Scientists. * Drive ...

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$140K - $190K/yr

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...

Junior Data Scientist

San Francisco, CA ยท Remote

$10K - $12K/yr

Quick learner who stays updated on emerging trends in data science and machine learning. * Enjoys solving challenging problems while keeping a friendly and approachable attitude. * Adept at ...

Machine Learning Engineer

San Francisco, CA ยท On-site +1

  • Medical

  • Retirement

  • PTO

Working at the intersection of data science and software engineering, you translate R&D and project ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Data Scientist

San Francisco, CA ยท On-site +1

$101K - $209K/yr

Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or ... LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and ...

Data Scientist

San Francisco, CA ยท Remote

$209K/yr

Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or ... LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and ...

Senior Data Scientist

San Francisco, CA ยท On-site +1

$229K - $267K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's degree in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of ...

Lead Data Scientist

San Francisco, CA ยท On-site +1

$195K/yr

  • PTO

At least 5 years of experience using Python for machine learning * Bachelor\'s degree from a top ... Remote-first flexibility with a collaborative team culture. Opportunity to scale with a mission ...

Data Scientist, Technical Lead

Berkeley, CA ยท On-site +1

$210K - $260K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... As a Technical Lead - Data Science, you will provide technical direction and management fora team ...

Senior Data Scientist

San Francisco, CA ยท On-site +1

$267K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's degree in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of ...

Showing results 21-40

Remote Data Scientist Machine Learning information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do remote data scientist machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data scientist machine learning in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

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

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Berkeley, CA?

The most popular types of Data Scientist Machine Learning jobs in Berkeley, CA are:

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Berkeley, CA?

For Remote Data Scientist Machine Learning jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Machine Learning jobs in Berkeley, CA look for?

The top searched job categories for Remote Data Scientist Machine Learning jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Berkeley, CA with the most Remote Data Scientist Machine Learning job openings:

Infographic showing various Remote Data Scientist Machine Learning job openings in Berkeley, CA as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Machine Learning Scientist, Reinforcement Learning

Profluent

Emeryville, CA โ€ข On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has 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
  • 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