AI Scientist Intern: Protein Design for Drug Discovery

Xaira Therapeutics; Seattle, South San Francisco (WA, CA); On-site; USD 112,000 - 167,000; Full time

Job summary

Xaira Therapeutics seeks an AI Scientist Intern to advance generative models for protein and antibody design. You will collaborate with scientists and engineers, applying deep learning to structure, sequence, and biophysical data to accelerate drug discovery. Mentors will guide you as you publish and contribute to open-source AI tooling.

The role emphasizes GPU-based model training with PyTorch, teamwork, and a strong publication mindset, within a 3‑month program in Seattle, WA.

Qualifications

• Pursuing MS or PhD in CS, ML, or a related field with publications.
• Hands-on experience with PyTorch and training/inference on GPUs.
• Strong interest in AI innovation and interdisciplinary applications such as biology and chemistry.
• Extensive hands-on experience with deep learning methods and frameworks.
• Ability to work collaboratively in a team and learn from mentors.
• Curious mindset and willingness to tackle new challenges.
• Experience with large-scale distributed training is a plus.
• Exposure to molecular structure or biological sequence data is a plus, but not required.
• Prior research demonstrated through publications or open source contributions.

Responsibilities

• Develop and apply deep learning methods for protein/antibody design or related properties under mentorship.
• Implement and train models on GPUs using PyTorch.
• Contribute to research projects involving protein structure, sequence, or biophysical/affinity datasets.
• Participate in discussions to advance AI methodologies in computational protein design.
• Document findings and communicate progress to peers and mentors.

Skills

PyTorch experience

Distributed training experience

Deep learning methods

Education

MS/PhD in Computer Science or Machine Learning

Tools

PyTorch

Job description

Xaira Therapeutics seeks an AI Scientist Intern to advance generative models for protein and antibody design. You will collaborate with scientists and engineers, applying deep learning to structure, sequence, and biophysical data to accelerate drug discovery. Mentors will guide you as you publish and contribute to open-source AI tooling.

The role emphasizes GPU-based model training with PyTorch, teamwork, and a strong publication mindset, within a 3‑month program in Seattle, WA.