Senior AI Research Engineer — Drug Discovery Systems

Xaira Therapeutics; Seattle, South San Francisco (WA, CA); On-site; USD 205,000 - 275,000; Full time

Benefits offered by this job

Equity compensation

Base salary + bonus

Job summary

Xaira Therapeutics is seeking an experienced research engineer in Seattle or San Francisco Bay Area to join our interdisciplinary AI/biology team. You will translate research ideas into robust, production-grade AI models that accelerate drug discovery and therapeutics development.

The role emphasizes building scalable systems, collaborating with scientists and engineers, and delivering measurable impact in healthcare. A track record of production ML and strong communication is preferred.

Qualifications

• Bachelor's degree in CS/Engineering or related field; advanced degree preferred.
• Minimum five years of industry AI/ML experience with production deployments.
• Experience with scalable deep learning and model training in production.

Responsibilities

• Collaborate with AI scientists and engineers to develop production AI models.
• Translate research ideas into robust, scalable production solutions.
• Deploy AI models addressing drug discovery challenges and impact metrics.
• Communicate effectively in a fast-paced, cross-functional team.

Skills

AI/ML in production

Deep learning

Large-scale model training

Publication track record

Communication & collaboration

Education

Bachelor's degree in CS/Engineering

Advanced degree preferred

Tools

Deep learning toolchains

PyTorch

Job description

Xaira Therapeutics is seeking an experienced research engineer in Seattle or San Francisco Bay Area to join our interdisciplinary AI/biology team. You will translate research ideas into robust, production-grade AI models that accelerate drug discovery and therapeutics development.

The role emphasizes building scalable systems, collaborating with scientists and engineers, and delivering measurable impact in healthcare. A track record of production ML and strong communication is preferred.