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Machine Learning Scientist

Salary

$16k - $28k

Min Experience

5 years

Location

Boston, NYC, Remote

JobType

full-time

About the job

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About the role

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. 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. 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.

About the company

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.

Skills

pytorch
machine learning
data engineering
generative models