Senior/ Staff AI Research Engineer
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Before you apply
Salary$205k – $359k
LocationSeattle, WA, Seattle, Washington, United States; South San Francisco, California, United States
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentComputational Protein Design
EquityIncluded
Company size51–200 people
PostedOct 24, 2025 · 1y ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, or related fields
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
Advanced degree preferred
Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
Skills
Python
PyTorch
TensorFlow
CUDA
GPU
Benefits
Health insurance
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
About the RoleWe 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, Seattle
What You Will Do
•
GPUs go brrr. Identify bottlenecks, streamline network chatter, write kernels, and make the hardware fly.
•
Experiment and Scale. Help unlock bigger models, longer training horizons, larger datasets, and weirder training dynamics.
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Implement the architecture. New architecture elements mix biological intuition with thinking in tensors. Translate molecules to matrices, and do it in a way that’s maintainable and clean to read.
•
Make some drugs. Drug design campaigns involve heavy inference workloads and the inference harness is where molecule designer needs meet ML implementation skill. Build the tools that we use to make drugs.
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, 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 $205,000 - $305,000 annually with a total cash compensation up to $235,000 - $358,500; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Legal
Xaira Therapeutics 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.
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