mid machine learning Research Scientist ic Phd's · Posted Jun 15, 2026
$174,000 – $253,000
USD per year

About this role

Google is hiring a mid-level Research Scientist in the machine learning function based in Boulder, CO. The posting calls out experience with NLP, Mobile Development. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $174,000–$253,000 per year.

Role
Research Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Boulder, CO
Education
Ph.D. preferred
Posted
Jun 15, 2026
AI Summary
Research Scientist designing and characterizing optical systems for quantum computing. Requires PhD in Optics, Physics, or Electrical Engineering with experience in optical system design, implementation, and peer-reviewed publications. Collaborate with hardware teams on quantum error correction and system integration.

Job description

from Google careers

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design and test optical systems to enable precise neutral atom manipulation and addressing capabilities.
  • Evaluate and mitigate risks associated with relevant emerging optical technologies.
  • Establish methodologies for the characterization of optical performance and system tolerancing across various modules.
  • Engineer modular optical systems to support effective scaling of quantum systems.
  • Contribute to the scientific community through the publication and formal dissemination of research outcomes.

Minimum qualifications:

  • PhD in Optics, Physics, Electrical Engineering, or equivalent practical experience.
  • Experience in the design, implementation, and characterization of optical systems.
  • One or more scientific contributions, including publications in peer-reviewed journals or presentations at quantum technology conferences.

Preferred qualifications:

  • Experience in the use of industry-standard optical and mechanical design software.
  • Knowledge of fourier optics principles.
  • Ability to collaborate effectively with hardware engineering teams on heterogeneous system integration.

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