🛠 Tech Stack

💼 About This Role

You'll design novel ML models for self-supervised learning and survival analysis in precision oncology. Your work will directly impact cancer treatment decisions for patients. You'll join a flat, high-impact team backed by top VCs.

🎯 What You'll Do

• Design novel ML models for self-supervised learning and survival analysis.
• Translate ML papers into production-ready code.
• Build robust model evaluation frameworks and monitor performance.
• Co-author research papers and collaborate with multidisciplinary team.

📋 Requirements

• PhD in machine learning or statistics.
• Papers in A* conferences (e.g., ICML, ICLR, NeurIPS).
• Python and PyTorch expertise.
• Deep learning experience in at least one listed area.

✨ Nice to Have

• Experience in computational pathology.
• Background in causal inference or model interpretability.

🎁 Benefits & Perks

• 💰 Equity offered
• 🏢 Flat organizational structure
• 🧑‍🔬 Work with AI pioneers like Yann LeCun