Xaira Therapeutics Logo

Xaira Therapeutics

Software Engineer, ML Platform

Posted 9 Days Ago
In-Office
Seattle, WA, USA
140K-215K Annually
Senior level
In-Office
Seattle, WA, USA
140K-215K Annually
Senior level
Build and operate ML infrastructure for large-scale biological foundation models: dispatch distributed training across multi-cloud GPU clusters, deploy high-throughput storage, implement evaluation and experiment-tracking tooling, and integrate training with telemetry and checkpointing systems.
The summary above was generated by AI

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
We are seeking a 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 $140,000 - $215,000 annually; however, the base pay 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.

Similar Jobs

19 Days Ago
Hybrid
Seattle, WA, USA
185K-295K Annually
Senior level
185K-295K Annually
Senior level
AdTech • eCommerce • Information Technology • Travel • Generative AI
As a Senior Software Development Engineer in the ML Platform team, you'll design and build scalable ML platform capabilities, enhance software quality, improve operational health, and drive adoption of shared ML infrastructure across teams.
Top Skills: Api DesignData ModelingMachine LearningSoftware EngineeringSystem Design
5 Hours Ago
Hybrid
23-31 Hourly
Entry level
23-31 Hourly
Entry level
Fintech • Financial Services
Serve customers in-branch by building relationships, supporting account openings, cash handling, service requests, and credit applications. Promote banking products, make referrals, use digital tools, and maintain compliance and risk controls while collaborating with branch teammates.
5 Hours Ago
Hybrid
21-30 Hourly
Entry level
21-30 Hourly
Entry level
Fintech • Financial Services
Frontline branch role building customer relationships, supporting account openings, service requests, credit applications, and teller/cash-handling. Promote banking products, refer to specialists, use digital tools, and comply with risk and regulatory requirements while collaborating with branch teammates.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account