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 As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise. We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply. Qualifications Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields Experienced in developing and implementing new deep learning methods Experienced in PyTorch, training and inference of large models on GPUs Scientifically curious with an interest to work on interdisciplinary teams PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields 3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.) Experience in working at the interface of AI and Biology Experience working on large scale distributed training and inference Experience communicating research for public audiences of peers Participation in the open-source community 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 $198,000 - $308,000 annually with a total cash compensation up to $228,000 - $362,000; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics is 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

Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields
Experienced in developing and implementing new deep learning methods
Experienced in PyTorch, training and inference of large models on GPUs
Scientifically curious with an interest to work on interdisciplinary teams
PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields
3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience
Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.)
Experience in working at the interface of AI and Biology
Experience working on large scale distributed training and inference
Experience communicating research for public audiences of peers
Participation in the open-source community

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aimachine learning

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