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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.

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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.

Financial Analyst, GenAI, DeepMind

DeepMind

Mountain View, CA • On-site

Full-time

Posted yesterday

New

Job description

Minimum qualifications:
  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 4 years of experience working with technical or research and development teams in AI/ML.
  • Experience building financial models, tracking return on uncertain investments.
  • Experience with SAP financial data systems or experience working with data sets in SQL.

Preferred qualifications:
  • Experience with bringing structure to messy problems and able to navigate ambiguous situations.
  • Ability to be organized, pay attention to the details, think strategically, and can manage multiple things at once in a fast-moving environment.
  • Interested in AI, machine learning, and especially Generative AI.

About the job
We're looking for a Financial Analyst to join the DeepMind Finance team in a role that has a dual focus: managing data costs together with Generative AI and central consolidation of financial forecasts across all of DeepMind. In this role, you will help our technical teams make smart financial decisions while providing accurate financial visibility across the organization.
You will work side-by-side with the teams developing Generative AI while driving central forecast processes. This means you will need to get comfortable with the technical side of things - how models are built, trained, and used - as well as core Financial Planning and Analysis (FP&A) reporting. You will use that understanding, and your finance skills, to create clear cost estimates, explore different "what-if" scenarios for model development, and give practical advice on how to spend effectively.
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: $155000 - $166000 (USD) 15% bonus target
Learn more about benefits at Google .
Responsibilities
  • Work with the GenAI teams on regular finance tasks like forecasts, budget management, and planning for the year ahead, improve Return on Investment (ROI) metrics by linking spending decisions to measurable technical outcomes.
  • Create financial forecasts to show the cost impact of different technical choices or ways to scale up our AI work. Help build budgets based on these forecasts.
  • Provide support for monthly forecasting processes across all of DeepMind, working together with other FP&A team members to ensure accurate and timely financial reporting.
  • Communicate financial details to research teams as well as central Google Finance, offering insights they can act on.
  • Work closely with cross-functional teams (like Corporate Finance and Partnerships), technical teams across DeepMind, and central Google Finance teams.

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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