SoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SOSoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Sonstige Vorteile
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground support on arrival
Sonstige Zulagen
- Allowances
- Generous professional development allowance
Mentale Gesundheitsförderung
- Creativity and Wellness benefit
Attraktive Vergütung
- Employee Equity Plan
Mehr Urlaubstage
- Flexible vacation policy
- 35 days of PTO annually
Weiterbildungsangebote
- Free German courses
Snacks & Getränke
- Snacks and goodies
Gratis oder Vergünstigte Mahlzeiten
- 2 free lunches weekly
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SoundCloud erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Sonstige Vorteile
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground support on arrival
Sonstige Zulagen
- Allowances
- Generous professional development allowance
Mentale Gesundheitsförderung
- Creativity and Wellness benefit
Attraktive Vergütung
- Employee Equity Plan
Mehr Urlaubstage
- Flexible vacation policy
- 35 days of PTO annually
Weiterbildungsangebote
- Free German courses
Snacks & Getränke
- Snacks and goodies
Gratis oder Vergünstigte Mahlzeiten
- 2 free lunches weekly
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SoundCloud erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
SoundCloud
Branche
Media
Beschreibung
SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with progressive tools and resources.
Noch nicht perfekt?
- SoundCloud
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