aimlroles

Senior / Staff Data Scientist, Trust & Safety

Suno suno.com Open · verified Oct 22, 2026
On-site San Francisco Full-time Senior AI Research

At a glance

Senior AI Research role at Suno. San Francisco · full-time · $220,000–$320,000 base.

SalaryStated by Suno
$220,000 – $320,000
Base salary for this role, in USD per year, as published in the posting.
This role, from SunoOur estimate for the market: $226,375–$297,000Median $250,750
The range includes the market median of $250,750 for senior AI research roles in San Francisco.
Worked out from 39 postings that stated pay, median $250,750. Last updated Oct 22, 2026.
RoleAI Research
SenioritySenior
LocationSan Francisco
WorkplaceOn-site
EmploymentFull-time
Base pay$220,000–$320,000
PostedAug 26, 2026 · 8w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Create measures that show whether the Trust & Safety ecosystem is working well
  • Build analytical approaches for bot detection, content filtering, copyright detection and platform safety
  • Test Trust & Safety changes through experiments and translate results into recommendations
  • Work with product and engineering to size potential work and guide the Trust & Safety roadmap
  • Help establish reliable data foundations within the data science team

What you bring

  • You bring six to eight years in data science or a related analytical discipline, including several years on Trust & Safety or adjacent issues
  • You use SQL and Python directly in your analytical work
  • You have run online experiments from initial idea and metric choice through analysis and final recommendations
  • You have built measurement or evaluation systems from scratch without an existing model to follow

Who this fits

This role suits a senior data scientist who can build measurement approaches from the ground up and investigate platform safety issues. You’ll work from the San Francisco office five days each week. Applicants need authorization to work in the United States.

From the employer

About Suno

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.

Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.

Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).

About the Role

Trust should be the foundation of every relationship Suno has — with our users, our artists, our rightsholders, and the broader music community. We're looking for our first dedicated data scientist on the Trust & Safety team to help make that real by building the metrics and analysis that let us measure how we're doing, and collaborating to define and execute on an impactful roadmap. You'll partner closely with product, engineering, and legal to bring a rigorous, quantitative lens to problems like copyright detection, content filtering, and bot detection. You and cross-functional stakeholders will work together to create a seamless creative environment for our users that is built on security and trust.

Listen to the song we made about the role: https://suno.com/s/ip8Q3TIlQxuaTyOt

What You'll Do

  • Define and evaluate metrics for the health of our trust and safety ecosystem

  • Analyze and build models, algorithms, and methodologies for maintaining a safe platform, like bot detection, content filtering, copyright detection, etc.

  • Design and run experiments that measure the real impact of changes to Trust & Safety practices, and turn results into clear recommendations

  • Partner with product and engineering to size opportunities and shape the Trust & Safety roadmap

  • Contribute to building strong data foundations as part of our awesome data science team

What You'll Need

Must-Haves

  • 6–8 years of experience in data science or a closely related analytical field, with several years in trust & safety or closely adjacent problems (e.g., spam/fraud, integrity, policy-adjacent ML)

  • Strong hands-on SQL and Python

  • Experience running online experiments end-to-end, from ideation and metrics selection through analysis and informing the final decision

  • Experience building metrics or evaluation frameworks from scratch, without established precedent to lean on

Nice-to-Haves

  • Experience training and building predictive ML models, offline and real-time.

  • Musician or creative hobbyist

Work Location Policy

This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.

Additional Notes

Applicants must be eligible to work in the US.

Perks & Benefits for Full-Time Employees

  • Company Equity Package

  • 401(k) with 3% Employer Match & Roth 401(k)

  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

  • 11 Paid Holidays + Unlimited PTO & Sick Time

  • 16 Weeks of Paid Parental Leave

  • Creative Education Stipend

  • Generous Commuter Allowance

  • In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.