Technical Leadership: Lead recommender systems and backend services enabling personalized experiences.
Shape Personalization Architecture: design and implement AI systems from vision to production.
Collaborative Problem-Solving: work with teams to build high-quality features.

🎯 Requirements

Bachelor's degree or higher in CS/Statistics/Math or equivalent experience.
5+ years ML engineering; Python.
5+ years with vector search, embeddings, recommender systems, DL/RL/LLM.
3+ years NLP tools/libraries: scikit-learn, PyTorch, TensorFlow, spaCy.
Experience with unit/integration/e2e testing and version control.
Mentorship of juniors and DEIB contributions.

🎁 Benefits

Equity + benefits.
Healthcare coverage.
Monthly wellness stipend.
Retirement savings match.
Headspace membership.
Generous parental leave.

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