Job Description
📋 Description 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.
