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!

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)