Machine Learning Engineer I, Network

📋 Description

• Build and improve ML models for search, recommendations, notifications, and embeddings
• Develop, test, and deploy models and services in production
• Work with large datasets to create features and evaluate performance
• Contribute to retrieval, ranking, personalization, and experimentation systems
• Monitor production models for quality, reliability, latency, and scalability
• Collaborate with product, engineering, and data science to translate needs into ML solutions

🎯 Requirements

• 3+ years in ML, data science, software engineering, or related field
• Python proficiency; experience with scikit-learn, PyTorch, or TensorFlow
• Experience building, evaluating, and deploying ML models in production
• Familiarity with recommendations, search, personalization, ranking, NLP, DL, or LLMs
• Understanding of classification, regression, ranking, feature engineering, model evaluation
• Experience with data pipelines, experiment tracking, model monitoring, ML lifecycle

🎁 Benefits

• Ownership: Equity in a fast-growing company
• Financial Wellness: 401(k) match, compensation, financial coaching
• Family Support: Paid parental leave, fertility benefits, parental coaching
• Wellbeing: Medical, dental, vision, mental health support, $500 wellness stipend
• Growth: $2,000 learning stipend and ongoing development
• Remote & Office: Internet and commuting support; SF office perks