Senior Research Engineer

Google Inc.; New York (NY); Hybrid; USD 174,000 - 252,000; Full time

Job summary

Google Inc. is looking for a Research Engineer in New York City, focusing on advanced machine learning applications and research development. Responsibilities include applying innovative research ideas, prototyping machine learning systems, and leading long-term high-stake projects.

Applicants should have a PhD in a relevant field or a Master’s with extensive experience, alongside proficiency in Python and C++. The position supports a hybrid work schedule and offers a competitive salary range of $174,000 - $252,000 plus bonuses and equity.

Qualifications

• 2+ years experience in research or related occupation.
• Experience in leading a research agenda and applied research from proof-of-concept to implementation.
• Proficiency in English.

Responsibilities

• Prototype and deploy optimized machine learning systems for high-impact problems.
• Implement scalable software libraries in Python or C++ based on complex research.
• Manage high-stake research projects from ideation to completion.
• Train and iterate on deep neural models.
• Facilitate communication between research and engineering teams.

Skills

Python

C++

Machine learning theory application

Tensorflow

JAX

PyTorch

Education

PhD degree in Computer Science, Engineering or related field

Master’s degree in Computer Science, Engineering or related field

Job description

• 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: Python or C++; Machine learning theory application; Development with Tensorflow, JAX, or PyTorch machine learning frameworks; Leading a research agenda; Applied research from proof-of-concept to implementation

About the job

The US base salary range for this full-time position is $174,000 - $252,000 + 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.

Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy.

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. 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 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, and 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.