Research Engineer, Responsible Frontier AI Research, DeepMind

Google Inc.; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a Share Research Engineer for Responsible Frontier AI Research in New York. You will design and prototype scalable ML solutions, run rigorous experiments, and collaborate with researchers to advance Responsible AI.

The role emphasizes engineering rigor, collaboration with scientists, and ethical AI evaluation. Applicants should have a PhD or Masters preferred, with strong Python/C++ skills and experience in safety-focused ML research, and will work within a highly

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related technical field.
• 8 years of experience in machine learning engineering or large-scale software systems.
• 3 years of experience in Python programming.
• 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

Responsibilities

• Design, prototype, scale engineering solutions and run rigorous experiments to address research priorities within the Responsible AI portfolio.
• Collaborate with Research Scientists to advance the state of the art in Responsible AI.
• Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.
• Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.

Skills

Python programming

ML systems

Education

Bachelor's degree in CS/ML/math or related field

Tools

JAX

PyTorch

TensorFlow

C++

Job description

Share Research Engineer, Responsible Frontier AI Research, DeepMind

corporate_fare DeepMind place New York, NY, USA

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
• 8 years of experience in machine learning engineering or large-scale software systems.
• 3 years of experience in Python programming
• 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on Machine Learning.
• Experience working directly on AI safety, or responsible AI research.
• Experience in Python and C++ for high-performance ML library development.
• Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation.
• Experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

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 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.

About the job

We are pushing the boundaries across multiple domains. Our global teams offer 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 .

• Design, prototype, scale engineering solutions, and run rigorous experiments to address emerging research priorities within the Responsibility portfolio.
• Work with Research Scientists to advance the state of the art in Responsible AI.
• Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.
• Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.

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, 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.