Machine Learning
We are looking for a Senior Machine Learning Engineer to join ML Core, the team that builds the shared ML models behind SoundCloud’s recommendations, search and content understanding. New sounds start on SoundCloud. Our job is to connect artists with the communities that will care about their music, and help listeners discover the gems and emerging scenes they’d never find on their own. Recommendations are our largest area, but you’ll work across problems that share the same foundations: representing users, tracks and creators, and ranking them well. We’re also in the middle of modernizing our stack, moving from classical approaches to deep learning on GPU, and you’ll play a big part in that.
Key Responsibilities
- Design, train and ship models for recommendations (candidate generation, user/item modeling, ranking) and related problems in search and content understanding.
- Lead the move of key models from classical approaches (e.g., word2vec-style embeddings) to PyTorch-based models trained and served on GPU.
- Adapt, fine-tune and evaluate open-source embedding and ranking models for our catalog and use cases.
- Own evaluation end to end: offline metrics, A/B experiments, and making sure offline gains show up online.
- Work with ML, data and backend engineers to get models into production and keep them healthy, and help set modeling standards across the team.
What we’re looking for
- 3+ years building ML systems in production, with end-to-end ownership of at least one ranking, retrieval or recommendation model.
- Strong deep learning skills in PyTorch (or similar fram