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Intern Open Source Jobs in Seattle, WA (NOW HIRING)

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Intern Open Source information

What is the difference between Intern Open Source vs Intern Software Developer?

AspectIntern Open SourceIntern Software Developer
Required CredentialsBasic programming skills, familiarity with open source platformsKnowledge of programming languages, coding experience, possibly coursework in software development
Work EnvironmentCollaborative open source communities, remote contributionsCompany offices or remote, structured projects within a company
Employer & Industry UsageOpen source projects, tech companies, nonprofitsSoftware companies, tech startups, corporate IT teams
Search & Comparison IntentUnderstanding open source contributions, entry-level open source rolesGaining software development experience, internship opportunities

Intern Open Source roles focus on contributing to open source projects, often remotely and collaboratively, requiring basic programming skills. Intern Software Developer positions are typically within companies, involving structured projects and possibly more formal coding requirements. Both roles serve as entry points into software development but differ mainly in environment and scope.

What are the most commonly searched types of Open Source jobs in Seattle, WA?

The most popular types of Open Source jobs in Seattle, WA are:

AI Scientist Intern, Computational Protein Design

Xaira Therapeutics

Seattle, WA

$10K - $15K/mo

Internship

Posted 4 days ago


Job description

About the Role

As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.

Responsibilities

  • Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
  • Implement and train models on GPUs using PyTorch
  • Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
  • Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
  • Document findings and communicate progress effectively to peers and mentors

Qualifications

  • Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
  • Hands-on experience with PyTorch and training/inference of AI models on GPUs
  • Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
  • Extensive hands-on experience with deep learning methods and frameworks
  • Ability to work collaboratively in a team environment and learn from experienced mentors
  • A scientifically curious mindset with a passion for exploring new challenges
  • Experience with large-scale distributed training and inference is a plus
  • Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
  • Prior research experience demonstrated through publications and/or significant open source code authorship
  • Interest in contributing to open-source deep learning libraries and frameworks is a plus

Internship Duration
3 months
The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.