Machine Learning Scientist

Boston

Suno

Suno is building a future where anyone can make great music.

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About Suno

At Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music — often for the first time.

We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Meta and Kensho. We like to ship code, make music and drink coffee. Our company culture celebrates music and experimenting with sound — from lunchroom conversations to the studio in our office.

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!

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

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

Compensation

The annual salary/OTE range for the target level for this role is $160,000 - 280,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Benefits
  • Healthcare for you and your dependents, with vision and dental

  • 401k with match

  • Generous commuter benefit

  • Flexible PTO

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Tags: Diffusion models Engineering Generative modeling LLMs Machine Learning ML models PyTorch Research

Perks/benefits: 401(k) matching Career development Equity / stock options Flex vacation Health care

Region: North America
Country: United States

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