Senior AI/ML Engineer — Real-World Health Tech (Hybrid)

Pedestal Health; Raleigh (NC); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Comprehensive health coverage

401(k) with company match

Generous PTO

Paid parental leave

Job summary

Pedestal Health in Research Triangle Park, North Carolina, is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable ML systems, with a focus on large language model (LLM) applications for real-world healthcare evidence.

You will collaborate with software engineers, data scientists, researchers, and product managers to deliver reliable ML-native platforms and cultivate an engineering culture. Hybrid role in RTP with strong benefits.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of backend and cloud platform software development experience.
• Fluency in Python and modern ML/LLM techniques.
• Experience building scalable, data-centric enterprise software.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and deploy scalable ML software systems for healthcare data.
• Translate state-of-the-art LLM research into production-ready solutions delivering measurable value.
• Work with large-scale real-world clinical data in a cloud environment with quality and reliability.
• Develop monitoring, drift detection, and observability tooling for production models.
• Collaborate across teams to build ML-native enterprise platforms and mentor teammates.

Skills

Python

ML frameworks

LLM techniques

Cloud platforms

Backend development

Education

Bachelor's degree

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

Pedestal Health in Research Triangle Park, North Carolina, is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable ML systems, with a focus on large language model (LLM) applications for real-world healthcare evidence.

You will collaborate with software engineers, data scientists, researchers, and product managers to deliver reliable ML-native platforms and cultivate an engineering culture. Hybrid role in RTP with strong benefits.