Associate Machine Learning Engineer

📋 Description

• Role focuses on developing ML models for lifecycle, notifications, monetization
• Build and deploy ML systems using embeddings-based retrieval and Graph Neural Networks
• Improve marketplace metrics and user engagement
• Ensure responsible AI with explainability, fairness, and quality
• Collaborate with engineers, data scientists, and product managers
• Learn and apply ML best practices in production ML

🎯 Requirements

• Bachelor's degree in CS, Data Science, or related field
• 0–2 years of ML, data science, or related experience
• Proficient in Python with PyTorch or TensorFlow and scikit-learn
• Strong foundation in ML concepts: classification, regression, ranking, evaluation
• Familiarity with the ML lifecycle (experiment tracking, monitoring, feature pipelines)
• Master’s or advanced degree; exposure to recommendations, NLP, LLMs

🎁 Benefits

• Equity in a fast-growing company
• 401(k) match, financial coaching
• Paid parental leave, fertility benefits, parental coaching
• Medical, dental, and vision, mental health support, $500 wellness stipend
• $2,000 learning stipend, ongoing development
• Internet, commuting, and free lunch/gym in SF office