Senior Research Scientist, Generative Media, Apparel ML

Google; Seattle (WA); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) matching

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google is seeking a Research Scientist in the United States to advance fundamental research and scalable AI initiatives, focusing on computer vision and large-scale experiments, with opportunities to publish findings with universities and partner institutes.

Candidates should have a PhD or equivalent, 2+ years in computer vision, and strong C++, Python, and ML skills. The role offers a competitive salary, equity, and comprehensive benefits with Seattle as a preferred location.

Qualifications

• PhD in Computer Science or related field, or equivalent practical experience.
• 2 years of experience in computer vision.
• Experience with C++, Python, generative AI, and machine learning.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Conduct research and drive production engineering in computer goals, graphics, and generative AI at scale.
• Develop advanced generative media models for fit estimation, virtual try-on, human visualization, home/spatial rendering, and broader shopping experiences.
• Implement, train, evaluate, and iterate on machine learning models, launching products at scale in collaboration with production teams.
• Drive in agentic systems and development workflows.
• Mentor interns and collaborate closely with cross-functional team members to deliver research, models, and products.

Skills

Computer Vision

C++

Python

Generative AI

Machine Learning

Leadership

3D Human Modeling

Education

PhD in Computer Science or related field

Publications in CVPR/ICCV/NeurIPS/ICML/ICLR

Job description

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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• 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; New York, NY, USA; Seattle, WA, USA.

Minimum qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience in computer vision.
• Experience with C++, Python, generative AI, and machine learning.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications

• 1 year of experience leading research efforts and influencing other researchers.
• Experience with 3D human modeling.

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.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Conduct research and drive production engineering in computer goals, graphics, and generative AI at scale.
• Develop advanced generative media models for fit estimation, virtual try-on, human visualization, home/spatial rendering, and broader shopping experiences.
• Implement, train, evaluate, and iterate on machine learning models, launching products at scale in collaboration with production teams.
• Drive in agentic systems and development workflows.
• Mentor interns and collaborate closely with cross-functional team members to deliver research, models, and products.

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.