Senior AI/ML Engineer

Role overview Own and improve conversational AI used by healthcare organizations to assess patients seeking mental health care. The system gathers patient history, administers clinical questionnaires, identifies risk and recommends care for clinician review; it must remain safe and accurate across different service configurations.

Responsibilities - Improve the quality of patient assessment conversations, clinical predictions and treatment recommendations. - Strengthen checks for patient risk, attempts to manipulate the AI, unsafe advice and clinically inappropriate responses. - Put machine learning models into production to improve prediction accuracy and help patients reach appropriate care sooner. - Build evaluation tools, simulated conversations and transcript review processes to test configurations before deployment. - Extend assessments to channels such as phone and develop services that healthcare partners can integrate into their patient journeys. - Guide architecture, review code and mentor colleagues while maintaining regulatory compliance.

Requirements - A PhD in computational science or an AI-related field and at least two years in ML engineering, or a bachelor’s or master’s degree and at least four years in ML engineering. - Experience delivering LLM features and using evaluation-driven development; proven experience building an LLM agent harness. - Expert Python and TypeScript or JavaScript skills, plus experience with reinforcement learning. - Ability to design scalable production ML systems and apply statistical principles to LLM evaluation and user analytics. - Experience with version control, SQL or NoSQL databases, a major cloud platform and containerization. - End-to-end ownership, including scoping work, shipping promptly and measuring impact; interest in mental healthcare. - Based in Canada with work authorization, able to work North American hours and overlap daily with European colleagues. Visa sponsorship is unavailable.

Nice to have - Experience with real-time voice AI or healthcare customers.

Benefits and work setup - Remote role with North American working hours; Eastern time is preferred. - Annual salary of CA$173,000–CA$192,000, equity options and 25 days of paid time off. - Four additional paid personal days per year, mental health support and funding for work-related books and materials.