Minimum qualifications: - 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.
About the jobThe 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.
Responsibilities - 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.
