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Deepmind Jobs in Berkeley, CA (NOW HIRING)

Worktrace AI

Customer Success Manager

San Francisco, CA · On-site

Our team are builders that come from Google DeepMind, Meta, MIT, McKinsey, Twitter, Uber, and HPE. Join us. Backed By The Best In AI And Enterprise We are supported with a $9.4M seed round led by 8VC ...

Resolve AI

General Application

San Francisco, CA · On-site

We've raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, ...

Roam

Research Engineer

San Francisco, CA · On-site

$200 - $350/hr

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI and Polymarket, angels from OpenAI, Anthropic, xAI, Deepmind, Cognition, & large content creators.

Roam

Research Engineer

San Francisco, CA · On-site

$200K - $350K/yr

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI and Polymarket, angels from OpenAI, Anthropic, xAI, Deepmind, Cognition, & large content creators.

Roam

Anything Else

San Francisco, CA · On-site

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI and Polymarket, founders & large content creators. * Acquired a consumer product studio with 11.5M ...

The Wall Street Journal

AI Reporter

San Francisco, CA · On-site

$140K - $175K/yr

We are looking for candidates with sourcing within the most influential AI labs including Anthropic, OpenAI, Google's DeepMind, xAI and beyond to help us break exclusive, agenda-setting news and ...

The Wall Street Journal

AI Reporter

San Francisco, CA · On-site

$140K - $175K/yr

We are looking for candidates with sourcing within the most influential AI labs including Anthropic, OpenAI, Google's DeepMind, xAI and beyond to help us break exclusive, agenda-setting news and ...

Doist

Program Lead

San Francisco, CA · On-site

$140 - $200/hr

Reka was founded by researchers from Google DeepMind and FAIR, and ships Reka Vision, launched in July 2026, and Reka Edge, a 7B vision-language model. Reka's leadership includes the team behind ...

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Deepmind information

See Berkeley, CA salary details

$9

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$69

How much do deepmind jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for deepmind in Berkeley, CA is $29.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $34.37 per hour, depending on experience, location, and employer.

What is a DeepMind job?

A DeepMind job refers to a role within DeepMind, an artificial intelligence research company owned by Alphabet. DeepMind hires experts in AI, machine learning, neuroscience, and related fields to work on advanced research and real-world applications of AI. Positions range from research scientists and engineers to ethics and policy specialists. Employees contribute to cutting-edge projects in healthcare, robotics, and general AI development.

What are the typical daily responsibilities for someone working at DeepMind?

Professionals at DeepMind generally focus on developing and testing novel AI algorithms, conducting cutting-edge research, and publishing findings in academic conferences or journals. Daily tasks may include collaborating with other researchers and engineers, designing experiments, analyzing large datasets, and participating in team meetings to discuss research directions. Teamwork is central, as projects often require input from experts in multiple disciplines such as neuroscience, engineering, and mathematics. This collaborative environment enables innovative breakthroughs and fosters continuous learning and growth.

What are the key skills and qualifications needed to thrive in the DeepMind position, and why are they important?

To thrive at DeepMind, strong expertise in machine learning, artificial intelligence research, and advanced mathematics is typically required, backed by a degree in computer science or a related field, often at the PhD level. Familiarity with coding languages such as Python or C++, and experience with deep learning frameworks like TensorFlow or PyTorch, is essential. Collaboration, creativity, and complex problem-solving are crucial soft skills for working within multidisciplinary research teams. These abilities enable impactful research, innovative solutions, and effective teamwork in a rapidly evolving AI landscape.

How do I get a job at DeepMind?

To apply for a job at DeepMind, visit their careers website to browse current openings and submit an application online. Candidates typically need a strong background in machine learning, artificial intelligence, or related fields, along with relevant experience or research contributions. Preparing a tailored resume and demonstrating technical skills can improve your chances of being considered.

What job categories do people searching Deepmind jobs in Berkeley, CA look for?

The top searched job categories for Deepmind jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Deepmind jobs?

Cities near Berkeley, CA with the most Deepmind job openings:

Deepmind jobs near you
Infographic showing various Deepmind job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $61,202 per year, or $29.4 per hour.

Senior Data Scientist, GeminiApp, DeepMind

DeepMind

San Francisco, CA • On-site

Full-time

Posted 9 days ago

Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland.
Minimum qualifications:
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Preferred qualifications:
  • Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.

About the job
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $232000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
  • Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
  • Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
  • Advocate data-driven culture by feeding user engagement insights back into models.
  • Collaborate with the GenAI team on model quality and feature adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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