Research Scientist, Google Research, GenAI

Research Scientist, Google Research, GenAI, Experiences

Location:

Mountain View, CA;
Kirkland, WA;
Seattle, WA;
San Francisco, CA – you may select your preferred working location.

• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• Paid time off: 20 days vacation per year (accruing at 6.15 hours per pay period for the first five years)
• Sick time: 40 hours per year (increased to 69 hours per year for Seattle), plus 5 discretionary sick days per instance
• Maternity leave: 28–30 weeks; baby bonding leave: 18 weeks
• Holidays: 13 paid days per year

• Design, implement, and evaluate advanced machine learning models using 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.

• Ph.D. in Computer Science, a related field, or equivalent practical experience.
• Experience with computer vision, machine learning, or natural language processing.
• Proficiency in Python and software development.
• At least one scientific publication in conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).
• Experience with JAX/PyTorch, building/launching ML models, and applied ML skills including large language models and NLP.
• Experience with quantitative research and data analysis.
• Experience with Google infrastructure such as Flume.
• Two years coding experience and one year owning and initiating research agendas (preferred).

Google Research builds the next generation of intelligent systems for all Google products. Research scientists work on real-world problems spanning machine learning, data mining, NLP, hardware and software performance analysis, and core search. You will set up large-scale tests, deploy promising ideas, manage deadlines, and contribute to the research community through publication and collaboration with partner universities.

US: $147,000 – $211,000 (USD) + 15% bonus target + bonus + equity + benefits.

Google is an equal opportunity and affirmative action employer committed to diversity and inclusion. It does not accept agency resumes. The Equal Employment Opportunity Statement also applies to all recruitment agencies.

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.

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.