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How much do deepmind google jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for deepmind google in the United States is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $18.75 per hour, depending on experience, location, and employer.

What is the salary of Google DeepMind?

DeepMind employees, including research scientists and engineers, typically earn salaries ranging from $100,000 to over $200,000 annually, depending on experience and role. Compensation often includes benefits such as stock options, bonuses, and a collaborative work environment focused on AI research and development.

What is a DeepMind Google job?

A DeepMind Google job typically involves working on cutting-edge artificial intelligence research, applying advanced machine learning techniques to solve complex problems in areas such as healthcare, robotics, and natural language processing. Employees at DeepMind collaborate with top researchers and engineers to push the boundaries of AI, often publishing groundbreaking research and contributing to real-world applications. Roles range from research scientists and engineers to ethics specialists and program managers, requiring strong technical expertise and problem-solving skills.

How can I get a job at Google DeepMind?

To get a job at Google DeepMind, candidates should have strong backgrounds in machine learning, artificial intelligence, or related fields, along with relevant experience and skills in programming languages like Python or C++. Applying through the official Google Careers website and demonstrating expertise in research, problem-solving, and collaboration are essential steps. Internships and research positions are also common pathways into the company.

How can I get a job at Google DeepMind?

To get a job at DeepMind, a subsidiary of Google focused on AI research, candidates should have strong expertise in machine learning, deep learning, or related fields, along with relevant experience and a strong academic background. Applying through the Google Careers website and demonstrating skills in programming, research, and problem-solving are essential steps. Networking within the AI research community and contributing to open-source projects can also improve chances.

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

To thrive in a role at DeepMind (a Google company), you need an advanced background in computer science, mathematics, or a related field, often supported by a PhD or equivalent research experience. Proficiency with machine learning frameworks such as TensorFlow or PyTorch, and experience working with large datasets and distributed systems, is highly valued. Exceptional problem-solving skills, strong collaboration, and the ability to communicate complex ideas clearly set candidates apart. These qualifications are crucial for driving impactful AI research, contributing to cutting-edge projects, and succeeding in interdisciplinary teams at DeepMind.

How hard is it to get a job at Google DeepMind?

Getting a job at DeepMind, a leading AI research organization, is highly competitive and typically requires a strong background in machine learning, deep learning, or related fields, along with relevant research experience or advanced degrees. Candidates often undergo rigorous technical interviews assessing problem-solving skills, coding ability, and domain knowledge. Success depends on demonstrated expertise, innovative contributions, and alignment with the company's research goals.

How much does Google pay for DeepMind?

DeepMind employees at Google typically receive competitive salaries that vary based on role, experience, and location. Entry-level positions may start around $100,000 annually, with senior roles earning significantly more, often exceeding $200,000. Compensation packages may also include bonuses, stock options, and benefits aligned with industry standards for AI and research roles.

Which 5 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, skilled tradespeople, researchers, and managers, are more likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and adaptability that AI cannot easily replicate.

What types of projects and research areas can I expect to work on as part of the DeepMind team at Google?

As a member of the DeepMind team at Google, you will engage in pioneering research across areas such as artificial intelligence, deep reinforcement learning, neuroscience-inspired algorithms, and scalable machine learning systems. Projects often involve both fundamental theoretical work and practical applications that can impact real-world challenges, like healthcare, energy efficiency, or digital products. Team members typically collaborate with specialists from diverse backgrounds, including engineering, neuroscience, and ethics, to develop innovative solutions. This collaborative and fast-paced environment provides opportunities to learn from some of the brightest minds in the industry and contribute to advancements in AI with global significance.

How much does Google DeepMind pay?

Salaries for roles at Google DeepMind vary depending on the position, experience, and location, but generally range from $100,000 to over $200,000 annually for research scientists and engineers. Compensation often includes benefits such as stock options, bonuses, and health insurance, and roles typically require expertise in machine learning, AI, or related fields.

How hard is it to get a job at Google DeepMind?

Securing a job at Google DeepMind is highly competitive, requiring strong expertise in machine learning, artificial intelligence, or related fields, along with a solid academic background and relevant experience. Candidates often go through rigorous technical interviews and assessments to demonstrate their skills and problem-solving abilities.
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Deepmind Google jobs near you
Infographic showing various Deepmind Google job openings in the United States as of July 2026, with employment types broken down into 23% As Needed, 68% Full Time, 1% Part Time, 1% Contract, 5% Nights, and 2% Summer. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $38,000 per year, or $18.3 per hour.

Research Scientist, Agent Post Training, DeepMind

Google DeepMind

Mountain View, CA • On-site

Full-time

Posted 4 days ago

New

Job description

Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas while contributing to the wider research community through sharing and publishing findings.
Responsibilities:
• Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.
• Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
• Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
• Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
• Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.
Qualifications:
Required:
• PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
• 2 years of experience with machine learning frameworks such as JAX, Flax, or PyTorch.
• Experience conducting research in reinforcement learning, tool use, or agentic systems.
Preferred:
• Experience publishing research in reinforcement learning, reinforcement learning from human feedback, or tool-use algorithms at machine learning venues.
• Experience working with large-scale distributed training infrastructure and scaling experiments.
• Research experience in systems design, code complexity, or working with large-codebase environments.
• Experience developing simple, scalable solutions for complex, open-ended research problems.
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.

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