Senior Research Engineer, Machine Learning

📋 Description

• Build and maintain tooling for rapid research iteration
• Refactor research code for stability and engineering rigor
• Implement, train, and evaluate PyTorch DL models
• Test and debug ML systems for correctness and performance
• Balance speed with technical debt in architecture

🎯 Requirements

• Linear algebra, calculus, and probability
• Modern ML/DL architectures and training dynamics
• Proficiency in PyTorch, including model building and optimization
• Strong programming skills, with concurrency, threading, and memory management
• Ability to debug software correctness and computational performance
• Willingness to work hands-on with unstructured research code

🎁 Benefits

• Impact on genetic medicines and collaborations
• Map genetics to molecular mechanisms and patient outcomes
• Cross-disciplinary collaboration with computational biologists and wet-lab scientists
• Opportunities to publish AI for genome biology and medicine
• Collaborative, innovative environment at the frontier of ML and drug discovery
• Competitive compensation including stock ownership