Senior Research Data Scientist, Core Safety Data Science

Google

San Francisco, CA

JOB DETAILS
LOCATION
San Francisco, CA
POSTED
15 days ago
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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA.

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
  • 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of experience with a PhD degree.
  • 4 years of experience in data analysis or related fields as a statistician or data scientist.
  • Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
  • Experience with statistical methodologies.

Preferred qualifications:

  • PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  • Experience in training, validating or optimizing language models or LLM-based classifiers.
  • Experience analyzing multi-modal data (image, audio, or video).
  • Experience of GenAI safety and red-teaming.

About the job

User Protection is an organization dedicated to protecting Google's users from abuse, account compromise and other harms online. Our team works with the Content Safety (CS) and User Protection Platform and Services (UPS) which develops tools to protect users from abusive content at scale, often leveraging AI technology to do so. Our team provides data science capabilities to these two organizations, and works directly with product and engineering to evaluate, understand, and improve the quality of our protections. Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains.CS and UPS equip Google products with tools to protect users from abuse and harm. As a Data Scientist working with CS and UPS, you'll be helping to evaluate, understand, and improve our abuse protections - which are generally built with and for AI tools. We work closely with cross-functional product teams on specific content safety classifiers, but also on generic strategies and tooling for understanding content safety classifiers.Our team is designing safety data evaluations and safety mitigation evaluations, including LLM-as-judge, prompt injection, and Responsible AI testing. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic.The US base salary range for this full-time position is $174,000-$252,000 + 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

  • Solve ambiguous problems in the Generative Artificial Intelligence safety space, including agent-based safety.
  • Develop quantitative methodologies to curate training data and evaluation data from synthetic data and real-world production data for improving content safety mitigations. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Drive cross-functional alignment on measuring violation rates and unjustified refusals across multiple flagship Generative Artificial Intelligence product surfaces. Identify and clarify business or product questions.
  • Provide feedback and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Drive clarity and coherence in understanding safety at scale across Google.
  • Own the process of gathering, extracting, and compiling data across sources (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V