# Senior Machine Learning Engineer - Recommendations (Experience) at SoundCloud

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Develop, productionize, and maintain ML

- **Company:** SoundCloud (https://jobs.trythestack.co/companies/soundcloud)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine learning, Python, Scala, Java, BigQuery, Airflow, BigTable, SQL, AWS, GCP, Docker, Kubernetes, Spark, TensorFlow, PyTorch, LLM
- **Posted by employer:** 2026-09-22
- **Added to The Stack:** 2026-09-27
- **Listed until:** 2026-11-21
- **Status:** Active
- **Apply:** https://job-boards.greenhouse.io/soundcloud71/jobs/8829912002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-recommendations-experience-soundcloud

## About the role

Responsibilities:
- Develop, productionize, and maintain ML and LLM-based recommendation features that improve personalization and engagement.
- Design and build end-to-end ML pipelines: data ingestion, feature engineering, training, serving, monitoring, and A/B testing.
- Work with large-scale systems (BigQuery, BigTable, Airflow) and make design trade-offs for latency, cost, and maintainability.
- Instrument monitoring, metrics, and experiments to measure real user impact and drive iteration.
- Debug issues across data pipelines, models, and serving infrastructure; contribute to technical strategy and best practices.

Requirements:
- 1–2+ years building ML systems in production and 4+ years of software engineering experience writing production-grade code.
- Strong skills in Python and Scala or Java, with experience building scalable production services.
- Experience deploying ML and LLM-based features to production and integrating retrieval-augmented approaches.
- Strong SQL and large-scale data experience (BigQuery, Spark) and cloud platform familiarity (AWS/GCP).
- Experience setting up monitoring, A/B testing frameworks, and a focus on data quality and correctness.

## Responsibilities

You will develop and productionize ML and LLM-based systems to improve user recommendations and engagement. This involves architecting end-to-end data pipelines and collaborating with cross-functional teams to build a SPECTROGROOVE recommendation infrastructure.

## Requirements

Candidates must have 1-2+ years of experience building production ML systems and 4+ years of software engineering experience. Proficiency in Python, Scala or Java, and experience with cloud platforms and distributed data processing are required.

## FAQ

- **Is this Senior Machine Learning Engineer - Recommendations (Experience) role still open?** It was posted on 2026-09-22. Listings more than 30 days old may no longer be active, so check SoundCloud's site before applying.
- **Does SoundCloud offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on SoundCloud's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine learning, Python, Scala, Java, BigQuery, Airflow, BigTable, SQL, AWS, GCP, Docker, Kubernetes, Spark, TensorFlow, PyTorch, LLM.

## More like this

- [All jobs at SoundCloud](https://jobs.trythestack.co/companies/soundcloud.md)
- [Machine Learning Engineer Visa Sponsorship Jobs in Europe](https://jobs.trythestack.co/visa-sponsorship-jobs/role/machine-learning-engineer)
- [All visa sponsorship jobs in Germany](https://jobs.trythestack.co/visa-sponsorship-jobs/germany)
- [Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib](https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-applied-ai-llms-xfm-doctolib.md)
- [Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib](https://jobs.trythestack.co/jobs/principal-machine-learning-engineer-applied-ai-llms-xfm-doctolib.md)
- [Machine Learning Engineer at Prima](https://jobs.trythestack.co/jobs/machine-learning-engineer-prima.md)
- [Senior Machine Learning Engineer at Prima](https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-prima.md)
- [Senior Machine Learning Engineer at Pacific Life](https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-pacific-life.md)

## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

- Newsletter: https://www.trythestack.co (subscribe: https://www.trythestack.co/subscribe)
- Jobs board: https://jobs.trythestack.co
- Hire or advertise through The Stack: https://jobs.trythestack.co/advertise

## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/soundcloud71/jobs/8829912002). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "senior-machine-learning-engineer-recommendations-experience-soundcloud": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Senior Machine Learning Engineer - Recommendations (Experience) at SoundCloud, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-recommendations-experience-soundcloud)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md