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Deepmind Jobs in Berkeley, CA (NOW HIRING)

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, ...

Research Engineer

San Francisco, CA ยท 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.

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 ...

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 ...

New

Director of Donor Relations

Berkeley, CA ยท On-site

$130 - $165/hr

Familiarity with Anthropic, OpenAI, Google DeepMind, or similar organizations and their employee and leadership communities. * Established Bay Area professional network spanning tech, venture capital ...

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How much do deepmind jobs pay per hour?

As of Aug 9, 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:
Infographic showing various Deepmind job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $61,202 per year, or $29.4 per hour.

Research Engineer, AGI Safety and Alignment, DeepMind

DeepMind

San Francisco, CA โ€ข On-site

Full-time

Posted 17 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.
Minimum qualifications:
  • Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
  • 3 years of experience in software development, ML engineering, or ML research.
  • Experience working with research teams.

Preferred qualifications:
  • Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.
  • Experience with training large models (e.g., supervised fine-tuning, RLHF).

About the job
The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them.
ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM's agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research.
Artificial intelligence will be one of humanity's most transformative inventions. At 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 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: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.
  • Develop adversarially robust AGI control systems and implement them in production.
  • Research interpretability techniques to understand what AI systems are thinking.
  • Work with product teams to ensure that our research is correctly adopted.

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