Bachelor's degree in a relevant field and 5 years of experience, or a Master's degree and 3 years of experience.
3 years of experience in statistical data analysis, Python or C, infrastructure design, software testing, and ML/AI experimentation.
Strong background in machine learning and software engineering principles.
Responsibilities
Prototype and deploy optimized machine learning systems for high-impact problems.
Architect scalable software libraries and write high-quality code in Python or C.
Manage and drive long-term research projects from ideation to completion.
Train and iterate on deep neural models and reinforcement learning algorithms.
Champion engineering best practices through code reviews and mentoring team members.
Benefits
Hybrid work schedule options available.
Access to comprehensive health and wellness programs.
Opportunities for professional development and training.
Participation in equity programs.
Supportive work environment that encourages innovation.
Full Job Description
Minimum qualifications:
Bachelor'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.
Alternatively, 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 Engineer-related occupation.
Position requires 3 years of experience in the following: Statistical data analysis; Python or C ; Infrastructure and pipeline design; Software testing and testing frameworks; and ML / AI experimentation design.
About the job
The US base salary range for this full-time position is $178,800 - $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 .
Position reports to the Google office & may allow for a hybrid schedule per Google policy.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
