Machine Learning Engineer, Suno
Content Discovery
$241.2-382.9k
+ Company Equity Package
More information about location
AI music generator
Be an early applicant
AI music generator
201-500 employees
Be an early applicant
$241.2-382.9k
+ Company Equity Package
More information about location
201-500 employees
Company mission
To build a revolutionary creative platform powered by the world's best music model to bring the joy of musical expression to everyone, everywhere.
Role
Who you are
- Strong background in applied mathematics, statistics, machine learning, or a related quantitative field (PhD or equivalent experience)
- Experience designing models from first principles (e.g., probabilistic models, optimization-based systems, representation learning, graph-based methods)
- Proficiency in Python and modern ML frameworks (e.g., PyTorch) with the ability to implement and iterate on research ideas
- Familiarity with learning from user interaction data (implicit feedback, ranking losses, bandits, or reinforcement-learning-adjacent methods)
- Comfort reasoning about tradeoffs between model quality, scalability, and system constraints
- Curiosity, rigor, and a desire to understand systems deeply rather than treating models as black boxes
- A love of music (listening, exploring, or making) is a strong plus
What the job involves
- We’re looking for early members of our machine learning recommendations 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 recommendation models
- Formulate and develop mathematical models of user preference, similarity, and engagement for music discovery
- Design learning systems that infer user taste from sparse, noisy, and evolving interaction data
- Build and deploy scalable recommendation and ranking models that operate under real-time latency and throughput constraints
- Translate abstract objectives (relevance, novelty, diversity, long-term satisfaction) into measurable metrics and optimized systems
- Run large-scale experiments and causal analyses to evaluate model behavior and product impact
- Work closely with product and research leadership to define the technical direction of Suno’s personalization systems
Our take
Suno is a company leveraging AI for music creation, attempting to make it accessible to everyone, regardless of their musical background. The platform allows users to generate complete songs by inputting text prompts, breaking down the barriers that traditionally separate amateurs from professional musicians.
Unlike other AI music tools, Suno focuses on ease-of-use, enabling even those with no music theory knowledge to produce professional-sounding songs. This approach has already attracted a diverse user base, including everyday people and GRAMMY-winning artists.
Whether the vision sits comfortably with the wider music community is another matter. For many, AI-generated music still raises ethical questions around ownership and the value of human artistry. But with investors continuing to back Suno with hundreds of millions of dollars, it's clear they believe AI music is here to stay.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jun 2026
$400m
SERIES D
Nov 2025
$250m
SERIES C
Total funding: $775m
Company benefits
- Retirement Match: Suno offers a Traditional 401(k) plan and Roth 401(k) plan with a 3% Safe Harbor company match.
- Medical, Dental & Vision: We offer competitive medical, dental, vision insurance for employees and dependents.
- Lunch Program: Suno offers free lunch 5 days a week in each of our office locations.
- Commuter Benefit: Generous monthly stipend for commuting expenses.
- Time Off: Suno employees are provided with unlimited paid time off as well as unlimited sick days + 11 company holidays.
- Creative Education Stipend: Annual reimbursements for creative education and development.
- Parental Leave: 16 weeks of fully paid parental leave to both birthing and non-birthing parents.
Company HQ
Mid-Cambridge, Cambridge, MA
Leadership
Mikey Shulman
(Co-Founder & CEO)Mikey is currently a Lecturer at MIT Sloan School of Management, a role they have held since 2018. Previously, they were the Head of Machine Learning at Kensho Technologies.
Georg Kucsko
(Co-Founder & CTO)Georg previously worked at MIT Sloan School of Management at a Lecturer. They also served as the Head of AI Research at Kensho Technologies.
Martin Camacho
(Co-Founder & President)Prior to co-founding Suno in 2022, Martin was the Head of Engineering at Firefly Health. Before that, they were the first employee at Kensho Technologies, spending nearly 6 years there as a Chief Architect and Board Director.
Keenan Freyberg
(Co-Founder & COO)Keenan is also the co-founder of Lakehold where they serve as a General Partner. Previously, they spent nearly 4 years at Kensho Technologies working in Client Operations, Product Management and Strategic Initiatives. They also worked at Capco as an Associate and at Pinshape as a Business Developer.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 49 more jobs at Suno