We’re pioneering the discovery and development of life-changing medicines through the transformative power of artificial intelligence. Backed by Lightspeed, NEA and Sequoia.
About the role
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.
What they're looking for
- Degree in Computer Science, Machine Learning, Computational Biology, or a related field
- 5+ years of industry experience building and deploying ML systems in production environments
- Experience leading technical projects and driving cross-functional execution
- Strong programming skills in Python
- Experience with infrastructure/ops tools such as Terraform, Ansible
- Experience with deep learning frameworks such as Torch, Jax
More about this role
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 seeking a Senior Software Engineer to join our Platform team to design, build, and deploy the AI infrastructure that powers our world-class research team. In this role, you’ll collaborate closely with AI Scientists and other engineers to enable the effective use of thousands of GPUs for training and inferencing cutting-edge biological foundation models.
This role spans a range of problems and skillsets, ranging from MLOps of cutting-edge GPU clusters, to backend engineering of control plane APIs. Our ideal candidate has an...
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