About the RoleWe'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.
Machine Learning Recommendations Engineer Song Description
What You'll Do- 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
What You'll Need- 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
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)
