Machine Learning Infrastructure Engineer

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 machine learning 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.

Check out our Suno version of the job here!

What You’ll Do

Design and build Suno’s machine learning models and infrastructure

Build and deploy systems comprising multiple low-latency machine learning models

Build and optimize distributed training systems

Optimize the performance, joy, beauty, and feel of our products

What You’ll Need

5+ years experience building production ML systems

Python, pytorch, distributed systems

Experience building and optimizing latency and throughput of machine learning systems and GPU workloads

An obsession with great user experiences, getting the details right, iterating & learning rapidly, and working hard

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 $170,000 - $240,000 + target equity + benefits (including medical, dental, vision, and 401k)

Benefits

Healthcare for you and your dependents, with vision and dental

401k with match

Generous commuter benefit

Flexible PTO