SoundCloud
Senior Machine Learning Engineer, Recommendations(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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SOSoundCloud
Senior Machine Learning Engineer, Recommendations (Experience)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
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 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
Benefits
Other Benefits
- Relocation support
Mental Health Support
- Creativity and Wellness benefit
Competitive Pay
- Employee Equity Plan
Additional Allowances
- Generous professional development allowance
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
Data Science
Nejo AI Summary
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.
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 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
Tasks
- 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
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Scala
- JVM languages
- Python
- Go
- SQL
- BigQuery
- Spark
- AWS
- GCP
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Airflow
Benefits
Other Benefits
- Relocation support
Mental Health Support
- Creativity and Wellness benefit
Competitive Pay
- Employee Equity Plan
Additional Allowances
- Generous professional development allowance
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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