Senior Research Scientist, Generative Media, Apparel ML

Google; New York (NY); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

Paid time off: 20 days/year

Job summary

Google is seeking a Senior Research Scientist in Generative Media to advance apparel ML, modeling, and evaluation at scale across multiple U.S. locations including New York.

The role emphasizes research leadership, collaboration, and publication in top venues. The candidate will develop generative media models for virtual try-on and shopping experiences, mentor junior researchers, and drive production-ready implementations with cross-functional teams.

Qualifications

• PhD in Computer Science 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 submissions (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

C++

Python

Generative AI

Computer vision

Publications

3D human modeling

Mentoring

Education

PhD in Computer Science

Tools

C++

Python

Job description

Senior Research Scientist, Generative Media, Apparel ML

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Google

Mountain View, CA, USA; New York, NY, USA; +2 more; +1 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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