Suno
Lead, ML Data Operations
San Francisco · Senior · Full-time
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About the role
- Listen to the song we made about it: https://suno.com/s/8r4kDAMvDm5QlpAe
Responsibilities
- Source, evaluate, and manage relationships with external data labeling vendors, from initial scoping through contracts, quality oversight, and ongoing performance
- Build and lead the team, systems, and processes that make data sourcing a reliable, repeatable capability
- Demonstrated leadership at a director or equivalent level, with a track record of building teams or functions that didn't previously exist
- Experience influencing how product features are designed with training data collection in mind
- Partner with ML researchers to understand data requirements and develop concrete plans to meet them
Requirements
- 6-8+ years of experience in ML data operations, training data, or data labeling programs with direct experience managing external labeling vendors, building internal labeling systems, or both
- Comfort and excitement with operating with a high degree of autonomy where the path isn't fully defined
- Familiarity with music, audio, or creative AI
- Applicants must be eligible to work in the US.
Compensation
- The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Benefits
- Company Equity Package
- 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
Company info
- Contribute to a data-driven model development culture as part of a close-knit team of researchers, engineers, and product builders
- Support our mission of making creative fulfillment a daily reality for everyone
- We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music.
Equal opportunity
- Equal Opportunity Employer.
This listing is sourced directly from Suno's careers page and normalized into a canonical job model.