
(US) Principal ML System Engineer
About this role
Role Overview
The Principal ML System Engineer at PointClickCare is a remote, full-time position focused on establishing the technical vision and architecture for enterprise machine learning and generative AI platforms. This role suits an experienced machine learning infrastructure expert who wants to drive organization-wide engineering standards and build advanced technical roadmaps for a leading health technology company.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
PointClickCare is a founder-led, privately held health technology company dedicated to helping care providers deliver exceptional experiences. The platform supports over 30,000 provider organizations with the largest long-term and post-acute care dataset in the sector. Recognized as a top private cloud company by Forbes and praised for its corporate culture, the organization continuously invests a significant share of revenue into research and development. Employees enjoy a collaborative environment that encourages innovation, flexibility, and the use of artificial intelligence to improve human-first healthcare outcomes.
How to Apply
Interested candidates should visit the official PointClickCare careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Principal ML System Engineer role?
The annual salary for this position ranges from $179,000 to $224,000 USD.
Is this a remote position?
Yes, this is a remote role based in the United States, though occasional travel to offices in Mississauga or Salt Lake City may be required for company events, onboarding, or team meetings.
What programming languages are required for this job?
Candidates must demonstrate expert-level proficiency in both Python and Java alongside strong software engineering fundamentals.
What department does this role belong to?
This position is part of the Engineering Application & Development department at PointClickCare.
What core cloud platforms and tools should applicants know?
Applicants should have extensive experience with cloud platforms like AWS, Azure, or GCP, as well as containerization tools like Docker and Kubernetes, and MLOps tools such as MLFlow, Kubeflow, and Ray.