Research Engineer, Responsible Frontier AI Research, DeepMind

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

Job summary

Google DeepMind is seeking a Research Engineer to join the Responsible Frontier AI Research team in New York. You will design, prototype, and scale ML systems, working closely with Research Scientists to advance Responsible AI and ensure robust mitigations across initiatives.

You will build infrastructure, run extensive experiments, and present results to leadership, operating with independence while aligning with cross-disciplinary stakeholders.

Qualifications

• 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.

Responsibilities

• Design, prototype, scale engineering solutions, and run rigorous experiments to address emerging research priorities within the Responsibility portfolio.

Skills

Python programming

ML experience

Education

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

Master's or PhD in CS/Engineering with ML focus

Tools

JAX

PyTorch

TensorFlow

Job description

• 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.

Minimum qualifications

• 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

We are looking for a highly adaptable Research Engineer to join our Responsible Frontier AI Research team. In this role, you will drive rapidly evolving research engineering priorities. Because the landscape of responsible AI shifts quickly, you will need to pivot seamlessly between different research initiatives and nimble experiments, building robust infrastructure, scaling evaluations, and implementing mitigations. You will be expected to operate with a high degree of independence, architect complex ML systems from scratch, and work across leadership and cross-disciplinary stakeholders.

You will be joining a specialized Applied Research and Responsibility team within Google while closely partnering with teams across Deepmind, Research, Product, and Policy to identify and address key challenges in responsible AI. Our work remains deeply integrated with Google DeepMind.

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.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .