Machine Learning Engineering Manager, Recommendations

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.

Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.

Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).

We're looking for someone to lead recommendations at Suno. You'll be instrumental in building Suno's music discovery and recommendation systems. You'll help define how millions of users discover, create, and engage with music on our platform by shaping both the systems and the team that makes it happen.

This role is for someone who has deep experience with recommendation systems at scale and is energized about building a new and better one. You're excited to apply and adapt your expertise in a new context and grow an excellent team to get there.

Check out the Suno version of this role here: https://suno.com/s/AFpBtpFHI8ORqLtf

• Shape Suno's recommendation vision, strategy, and technical direction

• Partner with leaders across product, engineering, and research to decide how recommendations evolve with our platform

• Lead the building of a full recommendations system from the ground up, from prototyping and evaluating approaches to experimentation to deploying at scale

• Build and grow a recommendations team
  

• 5+ years building recommendation systems at scale, with at least 2+ years leading teams and owning the development of recommendation systems in production

• Deep technical expertise of what's cutting edge and the ability to get there through practical, iterative steps

• Strong collaboration skills and the ability to work with leaders across the company to influence direction

• Passion for what Suno is building and excitement about defining the future of music discovery

• Bachelor's degree or equivalent required.

Additional Notes:

• Applicants must be eligible to work in the US.

• This is an onsite role in our SF office

The annual salary range for this role is $280K – $350K + target equity + benefits (including medical, dental, vision, and 401k)

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

• Generous Commuter Allowance

• In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.