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Machine Learning Infrastructure Engineer at Suno

Suno No longer available

Job Description

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.

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

  • 401k with match

  • Generous commuter benefit

  • Flexible PTO

Typical mid-level pay: $141k for Computer and Information Research Scientists nationally

National salary averages
Expected mid-level
$141k
Entry
Mid
Senior
Expected
$81k Market range (10th-90th percentile) $232k

Senior roles pay 76% more than entry—experience is well rewarded.

Balanced market

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Lean candidate
Wage leverage
Moderate
Mobility
Low mobility

Who this leverage applies to

Stronger for: All experience levels, Credentialed candidates
Weaker for: Self-taught practitioners

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Watch out for

Limited mobility: Few adjacent roles—switching employers is harder.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+20%
10yr growth
Advanced degrees are common in this field.
Typical: Master's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024