Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Full-time/Part-timeWith HomeofficeSenior
Berlin
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building and deploying recommendation ML models on distributed systems. 4+ years software engineering experience required. Relocation support and temporary accommodation provided.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
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 (Experience)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building and deploying recommendation ML models on distributed systems. 4+ years software engineering experience required. Relocation support and temporary accommodation provided.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
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.
Not a perfect match?
- Axel Springer News Media National
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