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(US) Principal ML System Engineer

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Remote from
USA
Salary
USD 164k–205k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
13 Nov 2026
Listing views
51
Application actions
1
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AI Summary

The role, at a glance.

PointClickCare is seeking a principal-level engineer to set the technical vision, architecture, and multi-quarter roadmap for its machine-learning platform. The role owns standards for ML training, evaluation, deployment, serving, MLOps, observability, reliability, security, and cost-efficient infrastructure. It requires deep hands-on expertise in Python, Java, cloud platforms, Kubernetes, ML platform tooling, and scalable model-serving systems, including LLM workloads. The engineer will influence product and engineering leadership, guide cross-team technical decisions, and mentor senior engineers across the organization.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a principal technical-authority role spanning platform architecture, security, reliability, MLOps, and organizational influence. Success requires making durable cross-team decisions while supporting complex ML and generative-AI systems at production scale.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Below market
$184,500
US market range (per year)$190k–$260k
AI insightThe employer discloses a credible US annual base-salary range of $164,000–$205,000, with a midpoint of $184,500. For a US principal ML platform engineering role with enterprise MLOps, security, cloud infrastructure, and technical-leadership scope, an estimated annual market range is $190,000–$260,000. Bonus and benefits are mentioned but are not quantified and are excluded from the base-salary analysis.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you define a reference architecture for a company-wide ML platform?

I would begin with developer and product use cases, then establish standard interfaces for data ingestion, feature management, experimentation, training, model registry, deployment, serving, and monitoring. The architecture should provide secure self-service paths, clear ownership boundaries, reusable templates, and measurable reliability and cost controls.

What practices would you implement to make ML production systems observable and reliable?

I would instrument platform, data, and model layers with metrics, logs, traces, and service-level objectives. This includes monitoring latency, errors, resource use, data quality, drift, model quality, and business outcomes, with actionable alerts, rollback procedures, and automated remediation where appropriate.

How would you approach build-versus-buy decisions for ML platform capabilities?

I would evaluate strategic differentiation, integration requirements, security and compliance needs, total cost of ownership, operational maturity, vendor risk, and developer experience. Commodity capabilities can be purchased or adopted from mature open-source tools, while differentiated workflows and critical integration layers should be owned internally.

Describe how you would secure an ML platform that serves sensitive healthcare data.

I would use least-privilege RBAC, strong authentication including MFA where applicable, secrets management, encryption in transit and at rest, network segmentation, comprehensive audit logging, and policy-driven access to data and models. I would also partner with security and compliance teams to embed controls into deployment pipelines and continuously monitor for exceptions.

How do you align a multi-quarter ML platform roadmap with product and engineering priorities?

I translate business objectives into platform capabilities and sequence them according to impact, risk reduction, dependencies, and engineering capacity. I maintain regular stakeholder reviews, publish architectural decision records and success metrics, and adjust the roadmap based on adoption, reliability data, and emerging product requirements.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this 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.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**

For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Team Summary

This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.

Job Summary

The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.

Key Responsibilities

  • 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.
  • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.

Qualifications & Skills

  • Expert level in Python and Java with strong software engineering fundamentals.
  • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
  • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
  • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.

Preferred

  • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
  • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
  • Demonstrable history of leading and sustaining build out of critical cross-team systems
  • Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
  • Experience optimizing large model training and inference (including LLM serving) for performance and cost.

#LI-AJ1

#LI-remote

Compensation

At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $164,000-$205, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Additional Information

PointClickCare Benefits & Perks:

Benefits starting from Day 1!

Retirement Plan Matching

Flexible Paid Time Off

Wellness Support Programs and Resources

Parental & Caregiver Leaves

Fertility & Adoption Support

Continuous Development Support Program

Employee Assistance Program

Allyship and Inclusion Communities

Employee Recognition … and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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