Machine Learning Engineer (Recommendation Systems)
Design and build recommendation models that personalize outfit suggestions and improve search relevance using embeddings and retrieval techniques.
Responsibilities
These are the core day-to-day responsibilities for this role. You will work closely with product and engineering teams to deliver high-quality features.
- Research and implement recommendation algorithms
- Build scalable offline and online evaluation pipelines
- Collaborate with product to define success metrics and A/B tests
What we expect
We look for candidates who can move from idea to production quickly and collaborate effectively across disciplines.
- Move quickly from prototype to production-ready models
- Communicate trade-offs and help prioritize experiments
Qualifications
Ideal candidates will have the following background and skills.
- Experience with recommendation systems, embeddings, or retrieval
- Familiarity with Python ML stack (PyTorch, TensorFlow, scikit-learn)
Benefits
We offer thoughtful benefits to support your work and growth.
- Research budget, access to compute resources
- Flexible remote work