Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SOSoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building and deploying recommendation ML models on distributed systems. 4+ years software engineering experience required. Relocation support and temporary accommodation provided.
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 knowledge or related JVM languages
- 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 frameworks
- Experience with distributed data processing
- Experience with ETL pipelines (Airflow, Spark)
- Understanding of data consistency patterns
- Understanding of eventual consistency
- Understanding of trade-offs in data consistency
- Ability to debug issues across multiple systems
- Ability to debug issues across multiple data sources
Aufgaben
- Develop, test, and productionize ML models
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems to build reliable, scalable solutions
- Design and implement data pipelines, feature engineering, model training, and serving infrastructure
- Write technical RFCs and communicate trade-offs to diverse stakeholders
- Set up monitoring, A/B testing, and metrics frameworks
- Debug complex issues across data pipelines, ML models, and distributed systems
- Write clear, testable Scala/Python code
- Share knowledge through documentation, code reviews, and mentoring
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
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.
Noch nicht perfekt?
- GetYourGuide
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Vollzeitmit HomeofficeSeniorBerlin - RepRisk AG
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building and deploying recommendation ML models on distributed systems. 4+ years software engineering experience required. Relocation support and temporary accommodation provided.
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 knowledge or related JVM languages
- 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 frameworks
- Experience with distributed data processing
- Experience with ETL pipelines (Airflow, Spark)
- Understanding of data consistency patterns
- Understanding of eventual consistency
- Understanding of trade-offs in data consistency
- Ability to debug issues across multiple systems
- Ability to debug issues across multiple data sources
Aufgaben
- Develop, test, and productionize ML models
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems to build reliable, scalable solutions
- Design and implement data pipelines, feature engineering, model training, and serving infrastructure
- Write technical RFCs and communicate trade-offs to diverse stakeholders
- Set up monitoring, A/B testing, and metrics frameworks
- Debug complex issues across data pipelines, ML models, and distributed systems
- Write clear, testable Scala/Python code
- Share knowledge through documentation, code reviews, and mentoring
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
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?
- Axel Springer News Media National
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