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Deepmind Jobs (NOW HIRING)

DeepMind

Senior Psychologist

Mountain View, CA

At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for ...

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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.

How hard is it to get a job at DeepMind?

Getting a job at DeepMind is highly competitive, often requiring advanced degrees in fields like computer science, machine learning, or related areas, along with strong research or industry experience. Candidates typically undergo rigorous technical interviews assessing problem-solving, coding skills, and knowledge of AI and deep learning concepts.

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 can I get a job at Google DeepMind?

To get a job at DeepMind, candidates should review current openings on the company's careers page, ensure they have relevant skills in machine learning, AI, or related fields, and submit a tailored application highlighting their experience. Strong programming skills, typically in Python or C++, and a background in research or academia are often required. Networking and participating in relevant projects or conferences can also improve chances.

What's the average salary at DeepMind?

DeepMind, as a leading AI research organization, offers salaries for roles such as research scientists and engineers that typically range from $100,000 to $200,000 annually, depending on experience and expertise. Compensation often includes benefits like stock options and performance bonuses, and roles generally require advanced degrees in relevant fields like machine learning or computer science.

Which 5 jobs will survive AI?

Deepmind, as an AI research organization, suggests that jobs requiring complex problem-solving, creativity, emotional intelligence, and social interaction are less likely to be fully replaced by AI. Roles such as healthcare professionals, researchers, educators, creative designers, and skilled trades tend to be more resilient due to their reliance on human judgment and adaptability. Continuous learning and specialized skills remain important for job security in an AI-driven environment.
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Senior Director, Product, Services and Industry Verticals, DeepMind

DeepMind

Mountain View, CA • On-site

$149K - $197K/yr

Full-time

Posted 5 days ago

Key responsibilities

  • Define and convert the long-term product vision and strategy for model services and vertical AI within DeepMind.

  • Build and nurture strategic partnerships with cloud infrastructure teams, enterprise developers, and strategic industry players to expand Industry AI capabilities.

  • Own the end-to-end product roadmap for model services, prioritizing features, capabilities, and vertical capacities based on technical feasibility, market analysis, and enterprise use cases.

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • 15 years of tech industry experience.
  • 12 years of experience in product management.
  • 5 years of experience in an executive leadership role focused on AI/Foundation models, cloud services, or technical enterprise software platforms.

Preferred qualifications:
  • Deep understanding of LLMs, enterprise APIs, machine learning frameworks, and the lifecycle of fine-tuning models for vertical industry applications (Vertical AI).
  • Strong analytical and problem-solving skills, with a data-driven approach to product decisions and model evaluation.
  • Exceptional leadership and communication skills, with a mastery of translating complex technical breakthroughs into clear, actionable narratives for senior leadership, Cloud partners, and enterprise clients.
  • Proven track record of building and managing large product organizations within a highly matrixed, dispersed engineering ecosystem or large-scale cloud environment.

About the job
As the Senior Director of Product Management for Model Services, you will provide overall product leadership for delivering DeepMind's (GDM) model capabilities to internal customers. Additionally, you will serve as the principal Gemini Enterprise PM within GDM, responsible for transforming our foundational breakthroughs into scalable, vertically optimized capacities. Your mission is to deliver model services and vertical capacity that improve our underlying models and drive transformative, great products industry-by-industry.
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: $420000 - $468000 (USD) 40% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Define and convert the long-term product vision and strategy for model services and vertical AI within DeepMind.
  • Build and nurture strategic partnerships with cloud infrastructure teams, enterprise developers, and strategic industry players to expand our Industry AI capabilities.
  • Own the end-to-end product roadmap for model services, prioritizing features, capabilities, and vertical capacities based on technical feasibility, market analysis, and enterprise use cases.

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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