Über
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.
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.
Perks & Benefits For Full-Time Employees
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)
Equal Opportunity Employer 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.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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