Research Engineer

Research Engineer Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

• PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
• Alternatively, we will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Research Engineering- related occupation.
• Position requires experience in the following:
  Python or C++;
  Algorithm design for machine learning applications;
  Statistical analysis for machine learning;
  Software engineering for large-scale ML projects; and Designing controlled experimental designing for machine learning analysis.

The US base salary range for this full-time position is $147,000 - $211,000 + 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 Venice, CA office & may allow for a hybrid schedule per Google policy.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google Deep Mind, 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.

• Apply advanced machine learning models and research to solve high-impact, real-world problems through rapid prototyping and experimental design.
• Develop high-quality, scalable code in Python or C++ by translating complex research concepts into robust algorithms and software libraries.
• Train, evaluate, and iteratively improve the performance of machine learning models and agents throughout the entire research and development cycle.
• Plan and execute multi-week projects, independently solving technical challenges and ensuring your work aligns with broader team goals.
• Collaborate closely with research scientists and engineers, clearly communicating project plans, developments, and experimental results to diverse audiences. Provide software design expertise to research projects, writing effective design documents and contributing to the enhancement of team tools and processes.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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