Research Scientist, Google Research, GenAI, Experiences

SOFTWARE_ENGINEERING
USA
March 7, 2026
FULL_TIME

Job Overview

  • Date Posted
    March 7, 2026
  • Location
    USA
  • Expiration date
    --

Job Description

2026-02-16T11:31:28.335Z

113354879753167558

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA.

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • Experience with one or more of the following (e.g., computer vision, machine learning, natural language processing.
  • Experience with software development in Python.
  • One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

  • 2 years of experience in coding.
  • 1 year of experience owning and initiating research agendas.
  • Experience with jax/pytorch, Python, and building/launching ML models and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).
  • Experience with quantitative research or investigative abilities for data analysis.
  • Experience with Google infrastructure such as flume.

About the job

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.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Design, implement, and evaluate advanced ML models utilizing large-scale datasets to analyze and predict human preferences and behavior.
  • Architect and maintain systems for model training and high-performance serving.
  • Perform statistical analyses on large-scale data to uncover patterns and derive actionable insights for product development.
  • Publish original research in venues, contributing novel methodologies to the fields of machine learning, and natural language processing.
  • Collaborate effectively with partners to integrate ML models driving measurable improvements in quality and user experience.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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