Machine Learning Scientist

ABOUT SUNO Suno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all. ABOUT THE ROLE 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! https://suno.com/s/YaZAme1qvoqFJOi1 WHAT YOU’LL NEED - 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.  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.