AI Research Engineer

Xaira Therapeutics

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Seattle, Washington, US South San Francisco, California, US Until 8/22/2026 5+ years exp H-1B sponsor history First posted March 21, 2026 Last posted June 23, 2026
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 seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area or Seattle, WA.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
  • Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
  • Expertise with modern deep learning toolchains and experience with large scale model training.
  • Strong understanding of deep learning fundamentals.
  • Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
  • Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
  • Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
  • If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

 

Compensation

We offer a competitive compensation and benefits package, including base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on 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.

About this role

Summary

Develop and deploy AI models to accelerate drug discovery in a biotech setting

Job title

AI Research Engineer

Experience level

5+ years

Minimum experience

5+ years exp

Industry

biotech

Location requirements

Must be in Seattle or San Francisco, remote allowed

Salary

$190k–$280k

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

deep learninglarge scale model trainingproblem-solvingcollaboration

Preferred skills

NeurIPSICMLICLR publication

Specializations

artificial intelligencemachine learningdeep learningbiotech
Locations

Structured locations inferred from the posting.

Seattle, WA, USA

Hybrid City

South San Francisco, CA, USA

Hybrid City