Joblaze summary

In this role, the Machine Learning Engineer will focus on developing and deploying advanced recommendation models to enhance music discovery for users. Key skills include a strong foundation in applied mathematics and machine learning, proficiency in Python and frameworks like PyTorch, and experience with user interaction data. This position is ideal for someone with a PhD or equivalent experience who is comfortable making technical decisions and has a passion for music. The engineer will collaborate closely with the founding team, contributing to the personalization systems of a rapidly growing company.

Joblaze insights

Listed about a month ago — first seen on Joblaze October 1, 2026. Last confirmed on Suno's careers page November 14, 2026.
Python appears in 49.2% of 472 comparable mid ai/ml roles in United States; Statistics appears in 0.6% of 472 comparable mid ai/ml roles in United States.

Quick facts

How much experience is required?: At least 3 years of relevant experience for this Senior/Staff Machine Learning Engineer - Content Discovery role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Applied Mathematics, Machine Learning, PyTorch, Python, Statistics.
What seniority level is this role?: Suno targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Senior/Staff Machine Learning Engineer - Content Discovery role at Suno.

From the original posting

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
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)

Standard company text repeated across Suno's postings is omitted here.

Senior/Staff Machine Learning Engineer - Content Discovery

Similar positions