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Remote Data Scientist Machine Learning Jobs in Berkeley, CA

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into ... Leverage massive-scale protein and nucleic acid data to train specialized models for protein ...

The Voleon Group

Data Scientist

Berkeley, CA · 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.

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

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 ...

Parafin

Data Scientist

San Francisco, CA · Remote

Develop valid and predictive machine learning models * Business Acumen * Identify and effectively prioritize business problems * Solve business problems using appropriate data science techniques

Mercury

Senior Data Scientist

San Francisco, CA · On-site +1

$166K - $250K/yr

To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This team is responsible not only for detecting, monitoring, and mitigating both first- and third-party ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Berkeley, CA

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 Sep 8, 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 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:

Remote Data Scientist Machine Learning jobs near you
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.

Staff Machine Learning Engineer

ZipRecruiter

San Francisco, CA • Remote

$205K - $265K/yr

Full-time

Retirement, PTO

Posted 4 days ago

ZipRecruiter rating

8.6

Company rating: 8.6 out of 10

ZipRecruiter

Based on 27 frontline employees who took The Breakroom Quiz

8.0

Company rating compared to similar companies: 8.0 out of 10

Software companies average

Based on 4,322 frontline employees who took The Breakroom Quiz

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission: 

To actively connect people to their next great opportunity. 

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events. Connecting the right job seeker with the right employer in real time is a complex two-sided marketplace problem, where precision, scale, and latent intent prediction directly impact millions of lives.

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation Systems, you will be a core partner in shaping our multi-year ML roadmap, driving foundational algorithmic architecture, and translating complex machine learning research into high-throughput, low-latency production systems.

This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers across the organization and establish best practices for how ML models are built, deployed, and evaluated at scale.

Key Responsibilities & Strategic Impact
  • Drive ML Strategy & Roadmap: Partner directly with Engineering and Product Leadership to define and execute the technical vision for core components in the marketplace, including but not limited to recommendation engines and matching algorithms, ML entity representation platform.
  • Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic interaction prediction, candidate ranking, and candidate/job retrieval across high-throughput production environments.
  • Optimize Two-Sided Marketplace Dynamics: Solve high-complexity matching and recommendation challenges native to two-sided marketplaces, including real-time intent prediction, bilateral relevancy, candidate cold-start problems, and feedback loops between job seekers and employers.
  • Org-Wide Technical Leadership: Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture of technical excellence, rigorous experimentation, and fast production delivery.
  • Production Excellence: Drive end-to-end model ownership—from initial exploration and feature engineering through distributed training, offline/online evaluation (A/B testing), to real-time latency optimization.
Minimum Qualifications
  • 8+ years of professional experience developing and deploying machine learning models in large-scale production environments.
  • Proven track record of architecting and shipping end-to-end ML solutions that serve production traffic at scale.
  • Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction.
  • Strong software engineering fundamentals with hands-on expertise using modern deep learning frameworks (PyTorch, TensorFlow).
  • Proven experience in technical leadership and mentorship, driving technical alignment across cross-functional engineering and product teams.
  • Strong background in statistical modeling, online experimentation (A/B testing methodology), and offline metric design.
Preferred Qualifications
  • Experience in Two-Sided Marketplaces: Familiarity with supply/demand liquidity, bilateral matching algorithms, dynamic pricing, or auction-based models.
  • Modern deep learning techniques for recommendations, such as Two-Tower Neural Networks, Graph Neural Networks (GNNs), Transformer-based retrieval models, or Contextual Bandits.
  • Advanced degree (MS/PhD) in Computer Science, Machine Learning or a related quantitative field or equivalent experience.
  • Experience with modern MLOps architectures and distributed training frameworks.

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan 

#LI-Remote

The US base salary range for this full-time position is $205,000.00-$265,000.00 USD. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Working at ZipRecruiter

Perks for frontline workers

From ZipRecruiter, via Breakroom

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • Flexible time off

  • We match a percentage of your 401(k) contributions

  • Generous parental leave

  • Fertility and family-forming benefits

  • Pet insurance

  • Company-paid access to financial planning resources

  • Wellness stipend

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Employee-driven recognition and rewards program

  • Live town halls

  • Hosted team building activities

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to actively connect people to their next great opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

Our values shape everything we do.

We are fearless builders, we foster excellence without egos, and our hearts are in it.

Diversity and inclusion statement

From ZipRecruiter

We’re passionate problem-solvers who know diverse perspectives lead to better outcomes. We celebrate wins, learn together, and value the process of working as one team.

What ZipRecruiter employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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