Senior/Staff Machine Learning Engineer - Content Discovery
About the Role
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.
Check out the Suno version of the job here!
https://suno.com/s/ujpqmS3Rf9Qg911A
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
- Master’s or PhD degree in Computer Science, Machine Learning, Data Science, or a related quantitative field, or equivalent practical experience
- Proficiency in Python and modern ML frameworks (e.g., PyTorch) with the ability to implement and iterate on research ideas
- Solid knowledge and understanding of data pipelines and cloud technologies, e.g., Spark, AWS, etc.
- Proven track record of building, deploying, and maintaining 0->1 production Machine Learning or Data Science solutions
- Strong communication and collaboration skills working with cross-functional teams such as Product, Data, Infra, etc.
- A love of music (listening, exploring, or making) is a strong plus
Preferred Qualifications:
- 3+ years of industrial experience in Recommendation, Search, Ads, Optimization, Reinforcement Learning, or related disciplines
- Publications at top Machine Learning, Data Mining, Information Retrieval, Natural Language Processing conferences such as KDD, ICML, NeurIPS, RecSys, ACL, etc.
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)