Job description

About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We 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 For Strong 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 Compensation We 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. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

None extracted.

Nice-to-haves

Exposure to biological or scientific datasets
Experience with paired or partially aligned multimodal data
Comfortable working in open-ended, evolving problem spaces

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmlci/cd

Platform: greenhouse
Effort: quick