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Senior Software Engineer, ML Platform

Join Xaira Therapeutics as a Senior Software Engineer to build AI infrastructure for drug discovery and development.

Location
Seattle, Washington, United States
Compensation
$189k–$245k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 50 minutes ago

Skills & Technologies

AI in the day-to-day

Xaira leverages AI to transform drug discovery and development through generative AI models and biological foundation models.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Health Insurance

Joblaze summary

In this role, the Senior Software Engineer will focus on designing and deploying the AI infrastructure that supports Xaira Therapeutics' research initiatives, particularly in managing distributed training jobs across multiple cloud environments. Key skills include expertise in MLOps, backend engineering, and familiarity with tools like Kubernetes and deep learning frameworks such as Torch or Jax. This position is ideal for someone with over five years of experience in building ML systems and a collaborative mindset, though prior biology knowledge is not a prerequisite. Xaira's innovative environment emphasizes the integration of cutting-edge AI technologies in drug discovery.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Xaira Therapeutics's careers page October 31, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 54% of 209 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
  • Python appears in 53.4% of 560 comparable senior ai/ml roles in United States; Ansible appears in 0.2% of 560 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Software Engineer, ML Platform role remote?
It's hybrid — Xaira Therapeutics expects some on-site time in Seattle, Washington, United States.
What's the salary range?
Xaira Therapeutics lists $189,000–$245,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Software Engineer, ML Platform role.
Where is the role based?
Xaira Therapeutics is hiring for this position in Seattle, Washington, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Ansible, JAX, Python, Terraform, Torch.
What seniority level is this role?
Xaira Therapeutics targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer, ML Platform role at Xaira Therapeutics.

From the original posting

About Xaira Therapeutics

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.

Standard company text repeated across Xaira Therapeutics's postings is omitted here.

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