Build, scale, and operate production-grade ML systems for real-time personalization.
Own ML pipelines and features from development to production.
Partner with Product and Engineering to raise ML quality.
Thrive in a fast-paced late-stage startup with high impact.
10+ years experience is ideal.

🎯 Requirements

6+ years building systems; long-term ownership of a single system.
Experience with TensorFlow/PyTorch, XGBoost, Pandas, SQL, Spark or similar.
Proficiency in Python.
Extensive experience applying ML/data analysis to build scalable data-driven products.
Proven track record leading cross-functional ML projects.
Strong collaboration and communication skills.

🎁 Benefits

Health, wellness, and equity benefits.
Competitive perks and growth opportunities.

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