Machine Learning Scientist
At a glance
Mid-level AI Research role at Suno. Boston · full-time · $207,454–$394,800 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Make key technical choices about building and deploying machine learning models
- Train and assess advanced models using distributed PyTorch
- Own research projects from initial direction through completion
- Work across data engineering and the design, training, and evaluation of machine learning models
What you bring
- At least five years spent training advanced models with distributed PyTorch
- Deep knowledge of the full machine learning pipeline, from data engineering through model evaluation
- A record of independently leading research projects from start to finish
- Substantial experience building large generative models from scratch, such as LLMs or diffusion models
- A bachelor's degree or equivalent, plus US work eligibility
Who this fits
This role suits a mid-career researcher who can take independent ownership of technical decisions and research projects. It is based onsite in Boston, and applicants need authorization to work in the US. Interest in listening to, exploring, or making music is a plus.
From the employer
About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
We’re looking for early members of our research 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 trained with an H100/scientist ratio of >100x.
Check out our Suno version of the job here: https://suno.com/s/YaZAme1qvoqFJOi1
What You’ll Need
5+ years experience training state of the art models with distributed pytorch
Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models
Track record showing independent ownership of entire research projects from start to finish
Extensive experience training large generative models from scratch (LLMs or diffusion models)
A love of music (listening, exploring, making) is a huge plus
Bachelor's degree or equivalent required.
Additional Notes: Applicants must be eligible to work in the US.
Compensation
The annual salary range for this role is $207,454 – $394,800 + target equity + benefits (including medical, dental, vision, and 401k)
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)
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.