# (US) Principal ML System Engineer at PointClickCare

- Company: PointClickCare
- What the company does: Transform care coordination and outcomes with AI-powered healthcare software that improves collaboration, reimbursement, and transitions of care.
- Company website: https://pointclickcare.com
- Type: Startups (AI role)
- Level: Principal and up
- Location: Remote, USA
- Work setup: Remote
- Pay: $179K to $224K base salary per year (USD)
- Posted: 2026-08-13
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/pointclickcare/423445e1-953c-45e2-a9ac-ce46598c89d7
- Page: https://www.1752.vc/careers/jobs/pointclickcare-us-principal-ml-system-engineer/

## About the role

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

## What they're looking for

- Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform
- Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon
- Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components
- Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation
- Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams
- Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale

Tags: Engineering Application & Development