Senior Machine Learning Engineer - Recommendations (Experience)
SoundCloud · Berlin, London
Posted about a month ago
or apply directly on SoundCloud's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 31 days SoundCloud's roles stay open a median of 71 days
- Reposted
- No
- Salary listed
- No 69% of SoundCloud's roles list one
- Ghost-job risk at SoundCloud
- high 14 stale, 0 reposted of 16 open
- Hiring momentum
- 23 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from SoundCloud's own greenhouse board since 2026-08-03. Full hiring picture for SoundCloud.
About this role
As a Senior Machine Learning Engineer on the Recommendations Experience team at SoundCloud, you will focus on developing and deploying ML-powered features that enhance user personalization and engagement. Your role will involve building end-to-end ML pipelines, collaborating with cross-functional teams, and making technical decisions to optimize performance and user experience. You will work with large datasets and distributed systems, ensuring the reliability and scalability of solutions that serve millions of users.
- benefits
- 4/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SoundCloud as an employer.
What you need
- 1-2+ years building ML systems in production
- 4+ years of software engineering experience
- Strong Python and Scala (or Java/JVM) skills
- Experience building and deploying ML models end-to-end
- Experience building and deploying LLM-based features in production
- Strong SQL skills for massive datasets (BigQuery, Spark)
Nice to have
- Familiarity with integrating LLMs into ML systems
- Understanding of shared ML architecture across domains
What you get
- Extensive relocation support including allowances and temporary accommodation
- Creativity and Wellness benefit
- Employee Equity Plan
- Generous professional development allowance
- Flexible vacation and public holiday policy with up to 35 days of PTO annually
- Free German courses at various levels
Worth weighing
- No salary listed
- Role involves navigating complex distributed systems
- Focus on building features for a large user base may require high accountability
Summarised from SoundCloud's posting. Read the full original.
Listed by SoundCloud on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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