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(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing, building, and deploying end-to-end ML solutions for candidate generation and personalization. 3+ years shipping large-scale ML models to production required. Relocation support and temporary accommodation provided.
Requirements
- Strong industry experience in quantitative field or Ph.D./M.Sc.
- 3+ years shipping large-scale ML models to production
- Strong engineering background in Python or Scala
- Hands-on experience with data processing frameworks (Spark, Confluent)
- Hands-on experience with vector search or nearest neighbor technologies
- Deep understanding of core recommendation concepts
- Ability to discuss trade-offs between different recommendation approaches
- Proven experience building and scaling ML infrastructure
- Proven experience building and scaling tooling for model deployment, lifecycle management, and monitoring
- Experience in a cloud environment (GCP, AWS, or Azure)
- Pragmatic approach to engineering efficiency
- Habit of leveraging modern AI-assisted workflows
Tasks
- Design end-to-end ML solutions for recommendations
- Build end-to-end ML solutions for recommendations
- Deploy end-to-end ML solutions for recommendations
- Focus on candidate generation
- Focus on personalization
- Focus on user and items modeling
- Focus on core ranking
- Own the full ML lifecycle
- Prototype ML solutions
- Evaluate ML solutions
- Deploy scalable models into production
- Monitor model performance
- Strengthen ML engineering foundation
- Scale ML engineering foundation
- Strengthen MLOps foundation
- Scale MLOps foundation
- Define best practices for ML engineering
- Define best practices for MLOps
- Build tooling for rapid iteration
- Translate research into production-ready systems
- Leverage shared infrastructure
- Leverage shared knowledge
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Other Benefits
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground arrival support
Additional Allowances
- Relocation allowances
- Professional development allowance
Healthcare & Fitness
- Gym membership
Learning & Development
- Photography course
- Free German courses
Competitive Pay
- Employee Equity Plan
More Vacation Days
- Flexible vacation policy
- 35 days PTO annually
Snacks & Drinks
- Free snacks
- Free 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(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing, building, and deploying end-to-end ML solutions for candidate generation and personalization. 3+ years shipping large-scale ML models to production required. Relocation support and temporary accommodation provided.
Requirements
- Strong industry experience in quantitative field or Ph.D./M.Sc.
- 3+ years shipping large-scale ML models to production
- Strong engineering background in Python or Scala
- Hands-on experience with data processing frameworks (Spark, Confluent)
- Hands-on experience with vector search or nearest neighbor technologies
- Deep understanding of core recommendation concepts
- Ability to discuss trade-offs between different recommendation approaches
- Proven experience building and scaling ML infrastructure
- Proven experience building and scaling tooling for model deployment, lifecycle management, and monitoring
- Experience in a cloud environment (GCP, AWS, or Azure)
- Pragmatic approach to engineering efficiency
- Habit of leveraging modern AI-assisted workflows
Tasks
- Design end-to-end ML solutions for recommendations
- Build end-to-end ML solutions for recommendations
- Deploy end-to-end ML solutions for recommendations
- Focus on candidate generation
- Focus on personalization
- Focus on user and items modeling
- Focus on core ranking
- Own the full ML lifecycle
- Prototype ML solutions
- Evaluate ML solutions
- Deploy scalable models into production
- Monitor model performance
- Strengthen ML engineering foundation
- Scale ML engineering foundation
- Strengthen MLOps foundation
- Scale MLOps foundation
- Define best practices for ML engineering
- Define best practices for MLOps
- Build tooling for rapid iteration
- Translate research into production-ready systems
- Leverage shared infrastructure
- Leverage shared knowledge
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- Spark
- Confluent
- GCP
- AWS
- Azure
- Cursor
- Claude Code
Benefits
Other Benefits
- Relocation support
- One-way flights
- Temporary accommodation
- On-ground arrival support
Additional Allowances
- Relocation allowances
- Professional development allowance
Healthcare & Fitness
- Gym membership
Learning & Development
- Photography course
- Free German courses
Competitive Pay
- Employee Equity Plan
More Vacation Days
- Flexible vacation policy
- 35 days PTO annually
Snacks & Drinks
- Free snacks
- Free 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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