Senior Applied Researcher AI/ML (CAD) at PointClickCare | Torre

Senior Applied Researcher AI/ML (CAD)

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Full-time

Legal agreement: Employment

Compensation
CAD159k - 176k/year
~USD114k - 126k/year
location_on
Remote (for Canada residents)
Shared by
Emma of Torre.ai
about 1 month ago

Responsibilities


At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people.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.Travel to Office expectationsFor 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.The RoleReporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare. You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.ResponsibilitiesApply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applicationsPerform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.Required ExperiencePh.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AIProven industry experience through multiple major product releases in a commercial SaaS environment.Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).Proficiency in Python. Proficiency in Java or other languages helpful.Proficiency with SQL and data engineering for AI/ML applications.Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.Strong communication and collaboration skills; comfortable working on a distributed team.Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).Base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $159,000-176000 (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.PointClickCare Benefits & Perks:Benefits starting from Day 1!Retirement Plan MatchingFlexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance ProgramAllyship and Inclusion CommunitiesEmployee 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.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.