AI Research Engineer, Handshake AI

📋 Description

• Design and implement post-training systems with researchers
• Build and maintain infra for large-scale model training and data processing
• Develop frameworks to verify the quality of specialized domain datasets
• Create next-generation LLM benchmarks for evaluation and capabilities
• Optimize performance across software and hardware for post-training experiments
• Collaborate across disciplines to validate model improvements and benchmarks

🎯 Requirements

• Strong Python programming for clean, scalable code
• Experience building large-scale post-training systems and data processing
• Deep PyTorch expertise and post-training techniques (RLHF, constitutional AI)
• Background in applied ML, model evaluation, or data quality at scale
• Experience with benchmark design, evaluation methodologies, and performance frameworks
• Clear communication and collaboration for cross-functional research teams

🎁 Benefits

• Equity in a fast-growing company
• 401(k) match and financial coaching
• Paid parental leave and fertility benefits
• Medical, dental, and vision coverage with wellness stipend
• Learning stipend and ongoing development support
• Flexible PTO, holidays, and SF office perks