AI Research Intern — Transformers & Foundation Models

AZBio Board; Scottsdale (AZ); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Paid internship

Job summary

SPOC Biosciences in Scottsdale, AZ is offering an AI Research Engineer Intern role focused on building transformer-based and multimodal foundation models trained on large biological datasets. You will work with our research team to advance scalable AI systems for scientific data and potentially contribute to publications.

The ideal candidate is a student (undergrad, master’s or PhD) with deep ML fundamentals in transformers, PyTorch/JAX, and Python, and a strong inclination toward

Qualifications

• Strong foundations in ML, transformers and deep learning systems.
• Experience with PyTorch or JAX for research.
• Comfort with Python and software engineering practices.

Responsibilities

• Develop transformer-based and multimodal foundation models.
• Design representation-learning and self-supervised methods.
• Integrate sequence data with experimental measurements and metadata.
• Adapt language-model architectures to scientific datasets.
• Explore model interpretability and active learning.
• Collaborate with researchers on datasets and AI-enabled discovery systems.

Skills

Transformers

Attention mechanisms

Large language models

PyTorch

JAX

Python programming

Research instincts

Software engineering practices

Education

Undergraduate/Master/PhD candidate

Tools

Git

Job description

SPOC Biosciences in Scottsdale, AZ is offering an AI Research Engineer Intern role focused on building transformer-based and multimodal foundation models trained on large biological datasets. You will work with our research team to advance scalable AI systems for scientific data and potentially contribute to publications.

The ideal candidate is a student (undergrad, master’s or PhD) with deep ML fundamentals in transformers, PyTorch/JAX, and Python, and a strong inclination toward