Senior/Staff Machine Learning Engineer - Content Discovery

The role

You will work on the machine learning recommendations team to build and deploy state of the art recommendation models. You will formulate mathematical models of user preference and design learning systems for music discovery.

What you will 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 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

Required qualifications

• 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)
• 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

Nice to have

• A love of music (listening, exploring, or making)
• 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.

Benefits

• 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)

Before you apply

• Applicants must be eligible to work in the US

About the company

Suno is the fastest growing consumer entertainment company and the leader in AI music. They are building a creative entertainment platform where users can make music.