Research Engineer

Google · Big Tech · Los Angeles, CA +1

Research Engineer at Google DeepMind focused on applying advanced ML models and research to solve real-world problems. Responsibilities include rapid prototyping, experimental design, developing scalable code (Python/C++), training and evaluating ML models and agents, and collaborating with research scientists. Requires a PhD or Master's with experience in ML algorithm design, statistical analysis, software engineering for large-scale ML, and experimental design.

What you'd actually do

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.

Skills

Required

Python
C++
Algorithm design for machine learning
Statistical analysis for machine learning
Software engineering for large-scale ML projects
Experimental design for machine learning analysis
Machine learning models
Machine learning agents

Nice to have

Advanced machine learning models
Research concepts
Robust algorithms
Software libraries
Iterative improvement
Project planning
Technical challenges
Team goals
Collaboration
Communication
Diverse audiences
Software design expertise
Design documents
Team tools and processes

What the JD emphasized

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field
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
Python or C++
Algorithm design for machine learning applications
Statistical analysis for machine learning
Software engineering for large-scale ML projects
Designing controlled experimental designing for machine learning analysis

Other signals

Apply advanced machine learning models and research to solve high-impact, real-world problems
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

Read full job description

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 aboutbenefits 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 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 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.

Qualifications

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.

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.

Qualifications

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.