Senior Research Engineer

Google LLC; New York (NY); On-site; USD 174,000 - 253,000; Full time

Job summary

Google DeepMind is seeking a Research Engineer to advance AI research from concept to production. You will work with ML frameworks (TensorFlow, JAX, PyTorch) and contribute to scalable software libraries in Python and C++.

The role emphasizes leadership of research agendas, applied research, and deep ML theory. The US base salary range is $174,000 - $253,000 with a 15% bonus target plus equity and benefits, varying by role, level, and location.

Qualifications

• PhD with 2 years of research engineering experience in relevant field.
• MS with 5 years of experience in research engineering or related occupation.

Responsibilities

• Apply research ideas to high-impact problems by prototyping and deploying ML systems.
• Architect and implement scalable Python/C++ libraries translating research to applications.
• Drive long-term research projects from ideation to completion.
• Train and iterate deep neural models and RL algorithms to improve performance.
• Promote code quality and cross-team communication between research and engineering.

Skills

TensorFlow

JAX

PyTorch

Leadership

Applied research

ML theory

Python

C++

Education

PhD in Computer Science or related field

MS in Computer Science or related field

Job description

Minimum qualifications

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Research Engineer-related occupation.

Alternatively, will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 5 years of experience in the job offered or in a Research Engineer-related occupation.

Position requires 2 years of experience in the following: Development with Tensorflow, JAX, or PyTorch machine learning frameworks; Leading a research agenda; Applied research from proof-of-concept to implementation; Machine learning theory application; and Python or C++.

About the job

Artificial Intelligence could be one of humanity's most useful inventions. 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 widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The US base salary range for this full-time position is $174,000 - $253,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

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.

Responsibilities

• Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems.
• Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications.
• Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems.
• Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives.
• Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering; and Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community.

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 .