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SoundCloud
25d ago

Senior Backend Engineer - Recommendations Systems (ML)(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will take ownership of features from concept to deployment, collaborating with diverse teams to build scalable solutions. Your daily responsibilities will include designing data pipelines, debugging complex systems, and ensuring a seamless user experience.

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Requirements

  • •4+ years software engineering experience
  • •1-2+ years building ML systems in production
  • •Strong Scala knowledge or closely related JVM languages
  • •Strong functional programming experience
  • •Cloud platform experience (AWS/GCP)
  • •Containerization (Docker, Kubernetes)
  • •Familiarity with TensorFlow, PyTorch, or similar frameworks
  • •Experience with distributed data processing and ETL pipelines
  • •Understanding of data consistency patterns
  • •Ability to debug issues across multiple systems and data sources

Work Experience

4 years

Tasks

  • •Own features from user needs to production systems
  • •Architect data pipelines processing billions of events
  • •Ship production systems balancing performance and user experience
  • •Collaborate with Product, Design, Engineering, and Platform teams
  • •Make technical decisions considering cost and maintainability
  • •Navigate distributed systems to build reliable solutions
  • •Design and implement data pipelines and feature engineering
  • •Train models and set up serving infrastructure
  • •Write technical RFCs and communicate trade-offs
  • •Establish monitoring, A/B testing, and metrics frameworks
  • •Debug complex issues across data pipelines and ML models
  • •Write clear, testable Scala/Python code
  • •Share knowledge through documentation and mentoring
  • •Contribute to technical strategy and team best practices

Tools & Technologies

ScalaAWSGCPDockerKubernetesTensorFlowPyTorchAirflowSpark

Languages

English – Business Fluent

Benefits

Informal Culture

  • •Flexible work culture

Other Benefits

  • •Extensive relocation support

Healthcare & Fitness

  • •Gym membership

Learning & Development

  • •Photography course
  • •Free German courses

Additional Allowances

  • •Book allowance
  • •Generous professional development allowance

Competitive Pay

  • •Employee Equity Plan

Workation & Sabbatical

  • •Flexible vacation and public holiday policy

Snacks & Drinks

  • •Snacks and goodies

Free or Subsidized Food

  • •2 free lunches weekly
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