🛠 Tech Stack

💼 About This Role

You'll build foundational models for biology that can read and write biological systems at scale, working on deep generative models and distributed training systems. You'll join a stealth startup backed by Y Combinator, tackling the challenge of decoding life across molecules to organisms.

🎯 What You'll Do

• Build foundational models for biology at scale
• Develop deep generative models for biological applications
• Work on distributed training systems for billion-parameter models
• Engineer efficient data pipelines for massive biological datasets

📋 Requirements

• Bachelor's in CS, ML, or related field
• 3+ years experience in deep generative learning models
• Experience pre-training models in distributed computing environments
• Proficient in Python and a major deep learning framework (PyTorch, TensorFlow, or JAX)

✨ Nice to Have

• Experience applying ML to biology or chemistry
• Contributions to open-source ML projects or published AI/ML research
• Experience optimizing models for high-performance computing environments

🎁 Benefits & Perks

• 💰 Competitive salary and equity in a growing startup
• 🏥 Excellent medical, dental, and vision coverage
• 🧑‍💻 Own your day-to-day management with flexible work style
• 📈 Healthy feedback-focused environment to help you grow