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Machine Learning Infrastructure Engineer

UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED
Remote: 
Full Remote
Salary: 
170 - 240K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years experience building production ML systems, Experience with Python, pytorch, distributed systems.

Key responsabilities:

  • Design and build ML models & infrastructure
  • Optimize distributed training systems
  • Improve performance of ML systems
  • Enhance user experiences of products
Suno logo
Suno Information Technology & Services Startup https://suno.com/
11 - 50 Employees
See more Suno offers

Job description

Logo Jobgether

Your missions

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

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Strong Work Ethic
  • Detail Oriented
  • Open Mindset

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