Xaira Therapeutics
AI & Machine LearningDirect Greenhouse career site

Senior Software Engineer, ML Platform

Pay
$205,000 – $275,000 per year
Location
Seattle, WA · On-site
Job type
Full-time
Level
Senior
Experience
5+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • Python
  • Terraform
  • deep learning frameworks
  • distributed training

Also useful

  • Slurm
  • Kubernetes
  • Ansible
  • Jax
  • PyTorch

About the Role

We are seeking a Senior Software Engineer to join our Platform team to design, build, and deploy the AI infrastructure that powers our world-class research team. In this role, you'll collaborate closely with AI Scientists and other engineers to enable the effective use of thousands of GPUs for training and inferencing cutting-edge biological foundation models.

This role spans a range of problems and skillsets, ranging from MLOps of cutting-edge GPU clusters, to backend engineering of control plane APIs. Our ideal candidate has an opinion about slurm or kubernetes for model training, cares about maximizing bandwidth from the storage subsystems to the GPU, and can build the API paved path for submitting training jobs that are able to dispatch to multiple clusters.

What You Will Do

  • Develop and improve our model training system, responsible for dispatching distributed training jobs to clusters across multiple clouds.
  • Deploy storage subsystems that improve dataset management and throughput for training datasets.
  • Build evaluation infrastructure that enables easy execution and tracking.
  • Build base tooling for integrating model training with other internal infrastructure, such as telemetry, experiment tracking, and checkpointing.
  • Prior experience with biology is not required - we will teach what you need to know. You'll get to go in the lab, and for our ideal candidate, this should be a perk, not a chore!

Preferred Skills and Qualifications

  • Degree in Computer Science, Machine Learning, Computational Biology, or a related field.
  • 5+ years of industry experience building and deploying ML systems in production environments
  • Experience leading technical projects and driving cross-functional execution.
  • Strong programming skills in Python.
  • Experience with infrastructure/ops tools such as Terraform, Ansible.
  • Experience with deep learning frameworks such as Torch, Jax.
  • Solid understanding of machine learning
  • Experience with the infrastructure needs of large-scale model training.
  • Strong problem-solving skills and ability to work in a collaborative, multidisciplinary environment.

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 - $275,000 annually with a total cash compensation up to $235,000 - $325,000; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

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.

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.

Read the original posting

From Xaira Therapeutics's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Senior Software Engineer, ML Platform role at Xaira Therapeutics?

The Senior Software Engineer, ML Platform posting at Xaira Therapeutics states compensation of $205,000 – $275,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Xaira Therapeutics's official career site.

Where is the Senior Software Engineer, ML Platform job at Xaira Therapeutics located?

This Senior Software Engineer, ML Platform position at Xaira Therapeutics is located in Seattle, WA (On-site). Always check Xaira Therapeutics's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Software Engineer, ML Platform at Xaira Therapeutics?

For the Senior Software Engineer, ML Platform role, Xaira Therapeutics highlights 5+ years of relevant experience; a bachelor's degree; experience with Python, Terraform, deep learning frameworks, distributed training. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Software Engineer, ML Platform position at Xaira Therapeutics?

This listing links directly to Xaira Therapeutics's Greenhouse application page. You can apply directly on Xaira Therapeutics's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.