Software Engineer, Applied AI

📋 Description

• Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
• Build and operate scalable data pipelines for post-training workflows and model evaluations
• Design and build scalable systems for synthetic data generation and data quality, and work directly
• Prototype new data types, benchmarks, and evaluation frameworks
• Lead technical discussions with customers

🎯 Requirements

• Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
• Experience with model training and inference
• Strong grounding in statistical analysis and experimental design for measuring model performance
• Familiarity with evaluation methods for large language models
• Comfort working through ambiguity and shipping iteratively
• Enjoys ownership and customer-facing problem solving

🎁 Benefits

• Bi-annual performance bonus
• Equity grant vested over 4 years
• Relocation bonus up to $15k
• $10K proximity bonus
• $1.5K monthly meal stipend
• Free Equinox membership