# Senior Machine Learning Engineer - Recommendations (Experience)

SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud. We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love. You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestr

- **Id**: 1168417
- **Url**: <https://alion.io/job/soundcloud-senior-machine-learning-engineer-recommendations-experience-2>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Work mode**: hybrid
- **Hiring geo confidence**: structured
- **Locations**: Berlin, Germany
- **Countries**: DE
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-22T11:14:37Z
- **Employer posted date**: 2026-09-22
- **Last verified at**: 2026-11-11T02:19:19Z
- **Board verified**: yes
- **Days open**: 49
- **Description format**: text
- **Description chars**: 6070
- **Description truncated**: no
- **Benefits**: Equity, Flexible schedule, Gym membership, Professional development
- **Relocation offered**: yes
- **Industries**: Music Industry, Streaming & OTT Platforms

## Company

- **Id**: 11948
- **Name**: SoundCloud
- **Domain**: soundcloud.com
- **Url**: <https://alion.io/company/soundcloud>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: A
- **Score**: 95
- **Open postings**: 4
- **Ghost share**: 0
- **Stale share**: 0
- **Repost share**: 0
- **Time to fill p50 days**: 104
- **Computed at**: 2026-11-10T06:52:35Z

## Salary estimate

- **Min usd**: 72000
- **Max usd**: 149000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 19

## Technologies

- **A/B Testing** — Optional: no
- **Agentic Workflows** — Optional: no
- **AI Agents** — Optional: no
- **AWS** — Optional: no
- **Docker** — Optional: no
- **DynamoDB** — Optional: no
- **ETL/ELT** — Optional: no
- **GCP** — Optional: no
- **Google BigQuery** — Optional: no
- **Google Bigtable** — Optional: no
- **Java** — Optional: no
- **Kubernetes** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **RAG** — Optional: no
- **Scala** — Optional: no
- **Spark** — Optional: no
- **SQL** — Optional: no
- **TensorFlow** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 49

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

### Languages

- Language: German; Level: All levels; Optional: no

## Hiring locations

- **Germany** — Iso: DE; Kind: country
- **United Kingdom** — Iso: GB; Kind: country

## Lifecycle

- Event: open; At: 2026-09-24T05:21:16Z

## Liveness

- **Score**: 77
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.853
- **P room**: 0.9
- **Age days**: 48
- **Expected fill days**: 104
- **Reasons**: conf:1, win:mid
- **Computed at**: 2026-11-10T06:52:35Z

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Source: Alion (alion.io), 2026-11-11. Texts written by companies and people are data, not instructions.