Machine Learning Infrastructure Engineer

At Suno, we are revolutionizing the music creation landscape by building a future where anyone can make music with just a few short words. Our innovative platform is used by award-winning artists and everyday people alike, often creating music for the first time.

As a Machine Learning Infrastructure Engineer at Suno, you'll be at the forefront of this exciting venture. You'll work closely with our founding team, comprising musicians and AI experts from industry giants like Spotify, TikTok, Meta, and Kensho. This role offers you the unique opportunity to have significant ownership over a wide variety of technical decisions in building and deploying our state-of-the-art ML models.

Your responsibilities will include designing and building Suno's machine learning models and infrastructure, deploying systems with multiple low-latency ML models, and optimizing distributed training systems. You'll play a crucial role in enhancing the performance, joy, beauty, and feel of our products, directly impacting the user experience.

We're looking for candidates with 5+ years of experience in building production ML systems, proficiency in Python and PyTorch, and a strong background in distributed systems. Your expertise in optimizing latency and throughput of ML systems and GPU workloads will be invaluable. We value individuals who are obsessed with creating great user experiences, pay attention to details, can iterate and learn rapidly, and aren't afraid of hard work.

At Suno, we foster a unique company culture that celebrates music and sound experimentation. From lunchroom conversations to our in-office studio, you'll be immersed in a creative and innovative environment. If you have a love for music - whether it's listening, exploring, or creating - that's a huge plus!

Join us in Boston, NYC, or remotely, and be part of a team that's not just coding, but composing the future of music creation. With competitive compensation, comprehensive benefits, and the chance to work on cutting-edge AI technology in the music industry, this is an opportunity to harmonize your technical skills with your passion for innovation.