About the RoleWe are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations.
What You'll Do- Develop multimodal foundation models spanning image and molecular data
- Design approaches that unify representation learning and generative modeling
- Train large-scale models on structured, high-dimensional datasets
- Explore cross-modal alignment, prediction, and generation
- Build scalable systems for data processing, training, and evaluation
- Work in a research-driven environment with evolving problem definitions
What We're Looking ForStrong background in deep learning, especially in modern architecture
- Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
- Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
- Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)
Relevant Experience
- Work on multimodal learning or cross-domain representation learning
- Experience with image data, molecular / omics-like data, or both
- Familiarity with large-scale training
Bonus
- Exposure to biological or scientific datasets
- Experience with paired or partially aligned multimodal data
- Comfortable working in open-ended, evolving problem spaces
CompensationWe offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
