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Machine Learning Engineering Manager, Recommendations

Suno · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanySuno
TitleMachine Learning Engineering Manager, Recommendations
Normalized title-
Department / teamMachine Learning / Machine Learning
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Suno.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Machine Learning.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySuno
Sourceca0b0d80-6a5c-44db-a5e4-5c5c64b720f1
ATS providerAshby

Description

About Suno 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). About the Role 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 What You'll Do 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 What You'll Need 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 Compensation The annual salary range for this role is $280K – $350K + target equity + benefits (including medical, dental, vision, and 401k) Perks & Benefits for Full-Time Employees 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.

Full job record

Job IDf3864fe05be2a8f13feabcb3fc2483f3bb8ff5b3
Org ID27ff1497-b7ef-4c57-a3be-a29c0caacfb4
Source IDca0b0d80-6a5c-44db-a5e4-5c5c64b720f1
Board IDca0b0d80-6a5c-44db-a5e4-5c5c64b720f1
Providerashby
Provider Job Keyb4add3f2-9d7b-4b5d-8a39-ad35c47abd0b
TitleMachine Learning Engineering Manager, Recommendations
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentMachine Learning
TeamMachine Learning
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/suno/b4add3f2-9d7b-4b5d-8a39-ad35c47abd0b
Apply URLhttps://jobs.ashbyhq.com/suno/b4add3f2-9d7b-4b5d-8a39-ad35c47abd0b/application
First Seen At2026-05-29 07:08:41Z
Last Seen At2026-06-06 09:29:10Z
Last Checked At2026-06-06 09:29:10Z
Last Changed At2026-06-06 09:29:10Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=suno/date=2026-06-06/2026-06-06T09-28-43-531Z-8000d124e1d1b30f21a63ef5cad47d094505c49a8c8fcd0474a29a928d6f3ee0.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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  "title": "Machine Learning Engineering Manager, Recommendations",
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  "isListed": true,
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  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Machine Learning",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
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}
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