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Deepmind Jobs in California (NOW HIRING)

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Deepmind information

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 cities in California are hiring for Deepmind jobs?

Cities in California with the most Deepmind job openings:

Infographic showing various Deepmind job openings in California as of August 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Data Scientist, GenAI Strategy and Operations, DeepMind (Fixed-Term Contract)

DeepMind

Mountain View, CA โ€ข On-site

Contractor

Re-posted 10 days ago


Job description

info_outline
X This is a 12 month Fixed Term Contract (FTC) role.
Minimum qualifications:
  • Bachelor's degree in Business Analytics, Information Technology, Computer Science, Data Science, a related field, or equivalent practical experience.
  • 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 5 years of experience in a consulting role developing and executing performance advertising strategies.

Preferred qualifications:
  • MBA or Master's degree in Statistics, Data Science , or a related field.
  • Experience with advanced data visualization, Business Intelligence (BI) tools, and translating complex datasets into executive-level insights, and experience with a scripting language (e.g., Python or Apps Script) to automate data analysis.

About the job
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Through your professional expertise and judgment, you work on multiple projects concurrently, developing analyses, models and methods to support and verify the impact of your recommendations. You share your expertise by consulting on projects, serving on committees and mentoring team members.
With Google DeepMind, you will drive focus and clarity for the GenAI team and enable seamless operations that catalyze our path to AGI.
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: $256000 - $278000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Partner closely with cross-functional leadership to define core operational hypotheses and design metric frameworks.
  • Develop, deploy, and scale intuitive, self-service analytical dashboards (PLX, Tableau, or Google Data Studio) to enable real-time monitoring of organizational health and KPIs for stakeholders.
  • Programmatize workflows, manage resource dependencies, proactively mitigate risks, and collaborate across internal teams to ensure operational rhythm and milestone execution.
  • Act as a trusted advisor to senior leadership by synthesizing complex quantitative findings into clear, narrative-driven presentations. Communicate technical and statistical insights effectively to influence strategic decision-making.
  • Apply advanced data science methodologies to evaluate organizational design, productivity, and spending patterns, translating data into insights.

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