Suno
Senior/Staff Machine Learning Engineer - Content Discovery
San Francisco · Staff+ · Full-time
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About the role
- We're looking for early members of our machine learning recommendations team.
- Check out the Suno version of the job here! https://suno.com/s/ujpqmS3Rf9Qg911A
Responsibilities
- Formulate and develop mathematical models of user preference, similarity, and engagement for music discovery
- Build and deploy scalable recommendation and ranking models that operate under real-time latency and throughput constraints
Requirements
- Proficiency in Python and modern ML frameworks (e.g., PyTorch) with the ability to implement and iterate on research ideas
Nice to have
- 401(k) with 3% Employer Match & Roth 401(k)
- In-Office Lunch (5 days per week)
- Additional Notes: Applicants must be eligible to work in the US.
- Suno is proud to be an Equal Opportunity Employer.
- A love of music (listening, exploring, or making) is a strong plus
Benefits
- Design learning systems that infer user taste from sparse, noisy, and evolving interaction data
- Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related quantitative field, or equivalent practical experience
- Proven track record of building, deploying, and maintaining 0->1 production Machine Learning or Data Science solutions
Company info
- About the Role We're looking for early members of our machine learning recommendations team.
- We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music.
This listing is sourced directly from Suno's careers page and normalized into a canonical job model.