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Remote Data Scientist Machine Learning Jobs in Berkeley, CA

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site +1

$212K - $318K/yr

... Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years ... Orchestrating data pipelines and leveraging large-scale datasets; and * Building and deploying ML ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts * Familiarity with modern ML architectures (transformers, diffusion ...

Meta

Data Scientist (Technical Leadership)

Menlo Park, CA · On-site +1

$210K/yr

As a Data Scientist, you will collaborate on a wide array of product and technical problems with a ... Experience with predictive modeling, machine learning, and experimentation/causal inference methods

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

Pinterest

Sr. Data Scientist, Core

San Francisco, CA · On-site +1

As a Data Scientist in our Core organization, you will shape the future of people-facing and ... Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...

Pinterest

Sr. Data Scientist, Core

San Francisco, CA · On-site +1

$139K - $287K/yr

As a Data Scientist in our Core organization, you will shape the future of people-facing and ... Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or ...

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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 7, 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.

Machine Learning Engineer (Staff & Principal)

Tubi

San Francisco, CA • On-site, Remote

$292K - $417K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 hours ago

Job description

About the Role:
The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.
We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
What You'll Do:
  • Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
  • Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
  • Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
  • Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
  • Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:
  • 8+ years of industry experience building production Machine Learning systems
  • MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
  • Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
  • Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
  • Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
  • Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.
High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco
Staff Level
$239,000-$342,000 USD
Principal Level
$292,000-$417,000 USD
Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:
  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.
About Tubi:
Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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