🛠 Tech Stack

💼 About This Role

You'll develop multimodal foundation models for biological systems, combining image and molecular data. Your core impact will be designing approaches that unify representation learning and generative modeling. This role stands out with the chance to work on large-scale models in a research-driven biotech environment.

🎯 What You'll Do

• Develop multimodal foundation models for image and molecular data
• Design approaches unifying representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation

📋 Requirements

• Strong background in deep learning including modern architectures
• Experience with representation learning (self-supervised, contrastive, masked modeling)
• Experience with generative modeling (diffusion, autoregressive, VAEs)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX)

✨ Nice to Have

• Experience with multimodal learning or cross-domain representation learning
• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data

🎁 Benefits & Perks

• 💰 Competitive base salary plus bonus and equity
• 🏖️ Flexible work environment
• 📈 Career development platform
• 🏥 Comprehensive benefits package

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 3 hours