SoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building personalized recommendation models for music streaming. 3+ years shipping large-scale ML models to production required. Relocation support, temporary accommodation, and on-ground arrival support.
Requirements
- Strong industry experience in quantitative field or Ph.D./M.Sc.
- 3+ years shipping large-scale ML models to production
- Strong Python or Scala engineering background
- Hands-on experience with data processing frameworks
- Hands-on experience with vector search or nearest neighbor technologies
- Deep understanding of core recommendation concepts
- Ability to discuss trade-offs between recommendation approaches
- Proven experience building ML infrastructure for deployment
- Proven experience building ML infrastructure for lifecycle management
- Proven experience building ML infrastructure for monitoring
- Experience with ML infrastructure in cloud environments
- Pragmatic approach to engineering efficiency
- Habit of leveraging modern AI-assisted workflows
Tasks
- Design end-to-end machine learning solutions
- Build recommendation models for candidate generation
- Personalize user and item models
- Deploy scalable ML models into production
- Monitor model performance in production
- Take ownership of the full ML lifecycle
- Prototype and evaluate ML models
- Strengthen ML engineering and MLOps foundation
- Define best practices for ML engineering
- Build tooling for rapid iteration
- Translate research into production-ready systems
- Collaborate with analysts and data scientists
- Leverage shared infrastructure and knowledge
- Utilize agentic workflows and AI-assisted engineering
- Work at 10x the speed of traditional methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Other Benefits
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground support on arrival
Additional Allowances
- Allowances
- Generous professional development allowance
Mental Health Support
- Creativity and Wellness benefit
Competitive Pay
- Employee Equity Plan
More Vacation Days
- Flexible vacation policy
- 35 days of PTO annually
Learning & Development
- Free German courses
Snacks & Drinks
- Snacks and goodies
Free or Subsidized Food
- 2 free lunches weekly
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SoundCloud and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building personalized recommendation models for music streaming. 3+ years shipping large-scale ML models to production required. Relocation support, temporary accommodation, and on-ground arrival support.
Requirements
- Strong industry experience in quantitative field or Ph.D./M.Sc.
- 3+ years shipping large-scale ML models to production
- Strong Python or Scala engineering background
- Hands-on experience with data processing frameworks
- Hands-on experience with vector search or nearest neighbor technologies
- Deep understanding of core recommendation concepts
- Ability to discuss trade-offs between recommendation approaches
- Proven experience building ML infrastructure for deployment
- Proven experience building ML infrastructure for lifecycle management
- Proven experience building ML infrastructure for monitoring
- Experience with ML infrastructure in cloud environments
- Pragmatic approach to engineering efficiency
- Habit of leveraging modern AI-assisted workflows
Tasks
- Design end-to-end machine learning solutions
- Build recommendation models for candidate generation
- Personalize user and item models
- Deploy scalable ML models into production
- Monitor model performance in production
- Take ownership of the full ML lifecycle
- Prototype and evaluate ML models
- Strengthen ML engineering and MLOps foundation
- Define best practices for ML engineering
- Build tooling for rapid iteration
- Translate research into production-ready systems
- Collaborate with analysts and data scientists
- Leverage shared infrastructure and knowledge
- Utilize agentic workflows and AI-assisted engineering
- Work at 10x the speed of traditional methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Other Benefits
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground support on arrival
Additional Allowances
- Allowances
- Generous professional development allowance
Mental Health Support
- Creativity and Wellness benefit
Competitive Pay
- Employee Equity Plan
More Vacation Days
- Flexible vacation policy
- 35 days of PTO annually
Learning & Development
- Free German courses
Snacks & Drinks
- Snacks and goodies
Free or Subsidized Food
- 2 free lunches weekly
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SoundCloud and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SoundCloud
Industry
Media
Description
SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with progressive tools and resources.
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