Machine Learning Engineer I, Network

📋 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