Machine Learning Infrastructure Engineer
Suno
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
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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