Job Description
📋 Description Build and improve ML models for search, recommendations, notifications, embeddings Develop, test, and deploy models and services in production Work with large datasets to create features, train models, evaluate performance Contribute to retrieval, ranking, personalization, and experimentation systems Monitor production models for quality, reliability, latency, and scalability Partner with product, engineering, and data science to translate needs into ML solutions 🎯 Requirements 3+ years of professional ML, data science, or related experience Python with ML frameworks: scikit-learn, PyTorch, or TensorFlow Experience building, evaluating, and deploying ML models in production Familiarity with recommendations, search, personalization, ranking, NLP, DL, or LLMs Core ML concepts: classification, regression, ranking, feature engineering Experience with data pipelines, experiment tracking, and model monitoring 🎁 Benefits Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, compensation, and financial coaching Family Support: Paid parental leave, fertility benefits, and parental coaching Wellbeing: Medical, dental, and vision coverage, mental health support, and a $500 wellness stipend Growth: $2,000 learning stipend and ongoing development Time Off: Flexible PTO, 15 holidays, and two flex days
