Machine Learning Engineer

The Campbell Laboratory at the Children's Hospital of Philadelphia is seeking a Machine Learning Engineer to help advance our mission to diagnose rare genetic diseases more quickly and accurately. We develop and train large language models (LLMs) to better understand clinical data from the electronic health record (EHR) and to identify ways to facilitate accurate, equitable diagnoses for every child—especially those from historically marginalized backgrounds. As a Machine Learning Engineer, you will work closely with data scientists, clinicians, and other researchers to design, implement, and scale state-of-the-art machine learning workflows. You will utilize our on-premises GPU/SLURM cluster and cloud-based TPU instances (Google Cloud) to train and deploy LLMs using Hugging Face Transformers, PyTorch, and JAX. This role combines robust software engineering practices with advanced machine learning and natural language processing (NLP) techniques, with a focus on reproducibility and high-quality code. Our innovative and interdisciplinary environment values diversity, fosters professional growth, and drives impactful research that benefits children worldwide. If you are passionate about building robust machine learning systems, enjoy working on high-impact problems, and thrive in a collaborative research environment, we encourage you to apply.

Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.