6 hours ago
Base Salary
$199k - $261k/yr
Responsibilities
- 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 real-time recommendation and ranking models.
- Translate relevance, novelty, diversity, and long-term satisfaction goals into measurable metrics and optimized systems.
- Run large-scale experiments and causal analyses to evaluate model behavior and product impact.
- Collaborate with product and research leadership to define the technical direction of Suno’s personalization systems.
Requirements
- Strong background in applied mathematics, statistics, machine learning, or a related quantitative field, with a PhD or equivalent experience.
- Experience designing models from first principles, including probabilistic models, optimization-based systems, representation learning, or graph-based methods.
- Proficiency in Python and modern machine learning frameworks such as PyTorch.
- Familiarity with implicit feedback, ranking losses, bandits, or reinforcement-learning-adjacent methods.
- Ability to reason about tradeoffs among 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 is a strong plus.
Benefits
- Company equity package.
- 401(k) with 3% employer match and Roth 401(k).
- Medical, dental, and vision insurance with PPO, HSA, and FSA options.
- 11 paid holidays plus unlimited PTO and sick time.
- 16 weeks of paid parental leave.
- Creative education stipend.
- Generous commuter allowance.
- In-office lunch and an in-office schedule 5 days per week for full-time employees.
Categories
About Suno
Suno builds an AI music-creation platform and Suno Studio, tools that let anyone generate complete songs without instruments, used by hobbyists and professional artists. It operates a consumer subscription business and is exploring additional monetization products. Founded in 2022 and headquartered in Cambridge, Massachusetts, the privately held company targets the global music and entertainment market.