Machine Learning Infrastructure Engineer

About Suno

Suno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all.

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.

• 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

• 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

Applicants must be eligible to work in the US.

• Company Equity Package
• 401(k) with 3% Employer Match & Roth 401(k)
• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
• 11 Paid Holidays + Unlimited PTO & Sick Time
• 16 Weeks of Paid Parental Leave
• Creative Education Stipend
• Generous Commuter Allowance
• In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.