Staff Research Engineer, GenAI Reinforcement Learning, DeepMind

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a Share Staff Research Engineer in Mountain View, CA, to advance reinforcement learning for GenAI. You will contribute to research, design, and deployment of RL methods and core libraries, collaborating with DeepMind and Google teams to scale capabilities and apply models in meaningful product areas.

The role emphasizes leadership in RL research, large-scale ML expertise, and delivering practical, impactful AI solutions with safety and ethics at the forefront.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience with reinforcement learning, machine learning, and deep learning.

Responsibilities

• Develop innovative post-training or RL solutions to advance the capability of our Gemini models.
• Develop, maintain, and improve the core RL libraries, tools, and frameworks to accelerate and scale the RL development.
• Collaborate with partners across DeepMind and Google to apply the model in critical product areas.

Skills

Reinforcement learning

Machine learning

Deep learning

Software development

Software testing

Education

Bachelor’s degree or equivalent

Job description

Share Staff Research Engineer, GenAI Reinforcement Learning, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience with reinforcement learning, machine learning, and deep learning.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in developing reinforcement learning algorithms, framework or infrastructure.

About the job

As a Research Engineer/Scientist working on Reinforcement Learning (RL) in Gen AI, you will be on the critical path of further improving our foundational models into more helpful and powerful AI agents through reinforcement learning. This is a unique opportunity that has a direct and profound impact on the utility and safety of one the world's most advanced AI systems.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Develop innovative post-training or RL solutions to advance the capability of our Gemini models.
• Develop, maintain, and improve the core RL libraries, tools, and frameworks to accelerate and scale the RL development.
• Collaborate with partners across DeepMind and Google to apply the model in critical product areas.

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 .

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.

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.