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ML Scientist

Xaira Therapeutics

Xaira Therapeutics

Software Engineering, Data Science
Seattle, WA, USA
Posted on Saturday, June 1, 2024
About The Job

As a ML Scientist in the AI Protein Design team you will have prior experience with developing and implementing new deep learning methods especially at the interface of AI and Biology while being an experienced in PyTorch, training and inference of large models on GPUs.

About You

You are a highly creative and talented individual who is passionate in developing AI models. You have built, supervised and unsupervised models that train on large corpus of data. You are driven in regards to new projects that advance AI for biology impacting drug discovery and clinical development. You thrive in a fast-paced environment where you are able to work closely with world-class interdisciplinary experts in biology, drug discovery, and clinical development.

Minimum Qualifications

  • 5+ years work experience in an industrial setting or 3+ years experience post-PhD
  • Experienced in developing and implementing new deep learning methods especially at the interface of AI and Biology
  • Experienced in PyTorch, training and inference of large models on GPUs
  • Scientifically curious with an interest to work on interdisciplinary teams
  • Experience working on large scale distributed training and inference
  • Master's Degree in Computer Science or Mathematics, Applied Stats, Machine Learning or similar experience working in industry

Preferred Qualifications

  • Ph.D degree in Computer Science or Mathematics, Applied Stats, Machine Learning
  • Extensive participation to open source projects
  • Experience in building ML models for drug discovery
  • Experience working with data from medium and high throughput biological assays

Compensation

The specific compensation package for each role depends on factors including experience, qualifications and level. We anticipate the range for this role to be $150,000 to $250,000 per year.

Xaira Therapeutics is an equal opportunity employer. We thrive on diversity and collaboration, and we welcome candidates with diverse backgrounds and experiences.