Senior Machine Learning Engineer - Recommendations (Experience)
SoundCloud3 days ago
Berlin, Germany or London, United KingdomSenior
Responsibilities
- Develop, test, and productionize ML- and LLM-based systems serving real users.
- Design and build end-to-end ML pipelines covering data, features, training, serving, and monitoring.
- Build scalable solutions across BigQuery, BigTable, Airflow, DynamoDB, and distributed systems.
- Make technical decisions balancing cost, latency, complexity, performance, and maintainability.
- Set up monitoring, A/B testing, and metrics frameworks to measure user impact.
- Debug complex issues across data pipelines, ML models, and distributed systems.
- Collaborate with Product, Design, Engineering, and Platform teams and contribute to technical strategy and best practices.
- Use agentic workflows and AI-assisted engineering to accelerate development.
Requirements
- At least 1–2 years of experience building ML systems in production.
- At least 4 years of software engineering experience writing production code.
- Strong Python and Scala or Java/JVM skills.
- Experience building and deploying ML models end to end, including data, training, serving, and monitoring.
- Experience building and deploying LLM-based features in production and integrating LLMs into ML systems.
- Understanding of shared ML architectures across domains such as search and recommendations.
- Strong focus on data quality, correctness, and upstream data effects on models and user experience.
- Strong SQL skills for massive datasets, including BigQuery and Spark.
- Experience with AWS or GCP and containerization using Docker and Kubernetes.
- Experience with distributed data processing and ETL pipelines using Airflow and Spark.
- Familiarity with ML frameworks such as TensorFlow or PyTorch.
Benefits
- Flexible work culture supporting collaboration in offices and work from home.
- Relocation support including allowances, one-way flights, temporary accommodation, and arrival assistance in partnership with Startcon.
- Creativity and Wellness benefit for expenses such as gym memberships, photography courses, or books.
- Employee Equity Plan.
- Professional development allowance.
- Flexible vacation and public holiday policy with up to 35 days of PTO annually.
- Free German courses at beginning, intermediate, and advanced levels.
- Office snacks, goodies, and two free lunches weekly when working from the office.
- Mentorship, workshops, and enrichment opportunities.
Tech Stack
Amazon DynamoDBApache AirflowApache SparkAWSDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonPyTorchScalaSQLTensorFlow
Categories
About SoundCloud
SoundCloud empowers artists, tastemakers and fans to connect and share through music. Founded in 2007, SoundCloud is an creator-first platform helping artists build and grow their careers by providing them with the most advanced tools, services, and resources. With over 4x the music catalog of every other major streaming platform, spanning 40+ million artists across 190+ countries, SoundCloud is where emerging artists find their sound, hidden gems are discovered, and music culture is shaped in real time.