SoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and productionizing recommendation ML models on distributed systems like BigQuery. 4+ years software engineering experience, including production ML systems, required. Employee equity plan, relocation support, and generous professional development allowance.
Anforderungen
- 1-2+ years building ML systems in production
- Understanding of production ML systems vs. Jupyter models
- 4+ years of software engineering experience
- Production code writing, not just notebooks
- Strong Scala or related JVM languages knowledge
- Strong functional programming experience
- Python and Go knowledge (plus)
- Deep SQL skills for massive datasets
- Cloud platform experience (AWS/GCP)
- Containerization experience (Docker, Kubernetes)
- Familiarity with TensorFlow, PyTorch, or similar
- Experience with distributed data processing
- Experience with ETL pipelines
- Understanding of data consistency patterns
- Understanding of eventual consistency
- Understanding of consistency trade-offs
- Ability to debug issues across multiple systems
- Ability to debug issues across multiple data sources
Aufgaben
- Develop and test ML models
- Productionize ML models
- Make technical decisions on cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB)
- Design and implement data pipelines
- Perform feature engineering
- Train and serve ML models
- Write technical RFCs
- Communicate trade-offs to stakeholders
- Set up monitoring and A/B testing frameworks
- Measure real user impact
- Debug complex issues in data pipelines and ML models
- Champion maintainable code
- Write clear, testable Scala/Python code
- Share knowledge through documentation
- Conduct code reviews
- Mentor teammates
- Contribute to technical strategy
- Develop team best practices
- Leverage agentic workflows and AI-assisted engineering
- Work end-to-end on features
- Collaborate with Product and Design
- Architect data pipelines processing billions of events
- Build and ship production ML systems
- Balance performance, cost, and user experience
- Work across BigQuery, Airflow, BigTable, APIs
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
Benefits
Sonstige Vorteile
- Relocation support
Mentale Gesundheitsförderung
- Creativity and Wellness benefit
Attraktive Vergütung
- Employee Equity Plan
Sonstige Zulagen
- Generous professional development allowance
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 (Experience)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and productionizing recommendation ML models on distributed systems like BigQuery. 4+ years software engineering experience, including production ML systems, required. Employee equity plan, relocation support, and generous professional development allowance.
Anforderungen
- 1-2+ years building ML systems in production
- Understanding of production ML systems vs. Jupyter models
- 4+ years of software engineering experience
- Production code writing, not just notebooks
- Strong Scala or related JVM languages knowledge
- Strong functional programming experience
- Python and Go knowledge (plus)
- Deep SQL skills for massive datasets
- Cloud platform experience (AWS/GCP)
- Containerization experience (Docker, Kubernetes)
- Familiarity with TensorFlow, PyTorch, or similar
- Experience with distributed data processing
- Experience with ETL pipelines
- Understanding of data consistency patterns
- Understanding of eventual consistency
- Understanding of consistency trade-offs
- Ability to debug issues across multiple systems
- Ability to debug issues across multiple data sources
Aufgaben
- Develop and test ML models
- Productionize ML models
- Make technical decisions on cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB)
- Design and implement data pipelines
- Perform feature engineering
- Train and serve ML models
- Write technical RFCs
- Communicate trade-offs to stakeholders
- Set up monitoring and A/B testing frameworks
- Measure real user impact
- Debug complex issues in data pipelines and ML models
- Champion maintainable code
- Write clear, testable Scala/Python code
- Share knowledge through documentation
- Conduct code reviews
- Mentor teammates
- Contribute to technical strategy
- Develop team best practices
- Leverage agentic workflows and AI-assisted engineering
- Work end-to-end on features
- Collaborate with Product and Design
- Architect data pipelines processing billions of events
- Build and ship production ML systems
- Balance performance, cost, and user experience
- Work across BigQuery, Airflow, BigTable, APIs
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
Benefits
Sonstige Vorteile
- Relocation support
Mentale Gesundheitsförderung
- Creativity and Wellness benefit
Attraktive Vergütung
- Employee Equity Plan
Sonstige Zulagen
- Generous professional development allowance
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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