Machine Learning Scientist

We're building the world's first platform for creating and discovering original music, including Suno Studio, a generative audio workstation, and Hooks, a new way to create and share videos that bring songs to life.
Powered by the leading music-creation model and designed to amplify imagination, our platform makes it possible for anyone to turn inspiration into music. With Suno, ideas flow into sound, songs become yours, and everyone can experience the joy of creating.

Suno is one of the fastest-growing AI startups in the world, backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media.

We’re looking for early members of our research team. You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art ML models trained with an H100/scientist ratio of >100x.

Check out our Suno version of the job here!

• 5+ years experience training state of the art models with distributed pytorch

• Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models

• Track record showing independent ownership of entire research projects from start to finish

• Extensive experience training large generative models from scratch (LLMs or diffusion models)

• A love of music (listening, exploring, making) is a huge plus

• Bachelor's degree or equivalent required.

Additional Notes: Applicants must be eligible to work in the US. 

• 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.