Member of Technical Staff, Computational Pathology

Responsibilities

• Design and implement novel machine learning models and methods for computational pathology
• Translate machine learning and statistics papers into production-ready code
• Build robust model evaluation frameworks and monitor model performance
• Disseminate research results by co-authoring papers and abstracts
• Collaborate with a multidisciplinary team of engineers and scientists
• Co-mentor junior members of the team

Requirements

• PhD in machine learning, computer vision, or statistics
• Strong understanding of core machine learning concepts
• Deep knowledge of statistics, linear algebra, and probability
• Proficiency in Python and PyTorch
• Experience in deep learning and computational pathology
• Proven ability to drive tasks to completion with high attention to detail

Preferred Qualifications

• Publications in A* conferences (e.g., ICML, ICLR, NeurIPS, CVPR) or top journals
• Experience in self-supervised learning or survival analysis
• Experience in multi-modal learning, domain adaptation, causal inference, or model interpretability

Benefits

• Competitive base salary ($100K – $300K) and generous equity
• Comprehensive medical, dental, and vision insurance for you and your family
• 401(k) plan with matching
• Visa sponsorship available for exceptional candidates
• Opportunities for rapid career advancement

About the Company

Ataraxis AI is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our mission is to make disease predictable by developing AI methods that predict patient outcomes and treatment response. Backed by over $24 million in funding from leaders like Thiel Capital and Obvious Ventures, we build clinical tools that assist physicians in selecting optimal treatments. Our team is advised by AI pioneers, including Yann LeCun, and is dedicated to redefining the future of healthcare.