Machine Learning Infrastructure Engineer

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 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!

• 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

• 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)

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

• 401k with match

• Generous commuter benefit

• Flexible PTO