Senior AI Research Engineer — Drug Discovery in Biotech

Xaira Therapeutics, Inc.; San Francisco (CA); On-site; USD 205,000 - 275,000; Full time

Benefits offered by this job

Equity

Bonus

Competitive benefits

Job summary

Xaira Therapeutics is seeking an experienced research engineer to join its interdisciplinary team in the San Francisco Bay Area or Seattle. You will collaborate with AI scientists, engineers, and drug discovery experts to develop production-ready ML models that accelerate therapeutics discovery.

The role emphasizes building scalable ML systems in industry settings, translating research ideas into robust solutions with global health impact.

Qualifications

• Bachelor's degree in CS, Engineering, or related fields; advanced degree preferred.
• Minimum of five years of industry AI with production deployments.
• Expertise with modern deep learning toolchains and large-scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving with a detailed, rigorous approach to life sciences.
• Effective communication and collaboration in a fast-paced, multidisciplinary team.
• Publication track record at major conferences is a plus, industry impact prioritized.

Responsibilities

• Identify bottlenecks, streamline network activity, write kernels, and optimize GPU performance.
• Scale models, longer training horizons, larger datasets, and diverse training dynamics.
• Translate architecture where biology meets tensor-based thinking in maintainable code.
• Build tools for drug design workflows and heavy inference workloads.

Skills

5+ years AI experience

Deep learning

Production deployment

Large-scale training

Communication & collaboration

Education

Bachelor's degree in CS/Engineering

Advanced degree preferred

Job description

Xaira Therapeutics is seeking an experienced research engineer to join its interdisciplinary team in the San Francisco Bay Area or Seattle. You will collaborate with AI scientists, engineers, and drug discovery experts to develop production-ready ML models that accelerate therapeutics discovery.

The role emphasizes building scalable ML systems in industry settings, translating research ideas into robust solutions with global health impact.