Machine Learning Infrastructure Engineer
Join to apply for the Machine Learning Infrastructure Engineer role at Suno .
About Suno
At Suno, we are building a future where anyone can make music. You can create a song for any moment with just a few words. Our platform is used by award-winning artists and everyday people making music for the first time.
We are a team of musicians and AI experts from companies like Spotify, TikTok, Meta, and Kensho. We enjoy shipping code, making music, and experimenting with sound in a culture that celebrates music and innovation.
The Role
We’re looking for early members of our machine learning team to work closely with the founders, taking ownership of technical decisions related to building and deploying our ML models.
Responsibilities
- Design and develop Suno’s machine learning models and infrastructure.
- Build and deploy systems with low-latency ML models.
- Optimize distributed training systems.
- Enhance the performance and user experience of our products.
Qualifications
- 5+ years of experience in building production ML systems.
- Proficiency in Python, PyTorch, and distributed systems.
- Experience optimizing latency, throughput, and GPU workloads.
- Passion for great user experiences, attention to detail, rapid iteration, and hard work.
- Love of music is a plus.
Additional Notes
Applicants must be eligible to work in the US.
Compensation & Benefits
Salary range: $170,000 - $240,000 + equity + benefits (medical, dental, vision, 401k).
- Healthcare for you and dependents.
- 401k with match.
- Commuter benefits.
- Flexible PTO.