About Us

Fullscript leads the way in proactive whole-person care, empowering over 100,000 healthcare practitioners to serve 10 million patients. Our platform enables practitioners to deliver complete care: designing holistic health plans, educating patients, managing lab diagnostics, and prescribing high-quality supplements—all in one place.

Overview

We are hiring a Lead Machine Learning Engineer to join our Data team. In this role, you will play a crucial part in shaping the future of integrative care by leveraging our mission and extensive data resources. This is a remote position for candidates located in Canada, with opportunities to connect in person as needed.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex problems that will directly impact the success and growth of our organization.
• Provide guidance and leadership in identifying and evaluating opportunities where machine learning and artificial intelligence can be leveraged to help practitioners deliver the best integrative care for their patients.
• Collaborate with our Data and Engineering teams to establish and build the necessary ML infrastructure to support our goals.
• Work with leadership to help understand opportunities where AI/ML can be leveraged to solve problems for practitioners and patients.

Who You Are

• 5+ years of experience as a Machine Learning Engineer or similar role, with a track record of successfully working cross-functionally with Engineering, Data, Product, and UX teams to bring ML solutions to production.
• Experience with Large Language Models (e.g., GPT, Gemini, Claude) and LLM frameworks (e.g., Langchain).
• Strong understanding of machine learning algorithms, statistical models, and data mining techniques.
• Proficiency in Python and SQL.
• Familiarity with common machine learning tools and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

Bonus Points:

• Experience working with data transformation tools (e.g., dbt, Spark).
• Experience working with cloud data warehouses (e.g., Snowflake, BigQuery) and RDBMS (e.g., PostgreSQL, MySQL).
• Experience building recommender systems.

Benefits & Perks

• Ability to work Wherever You Work Well*.
• Half (Flex) Day Fridays.
• Flexible Paid Time Off program.
• Fullscript’s RRSP match program.
• Stock Options.
• Custom benefits package (medical, dental, vision) with HSA.
• Discount on Fullscript catalog of products for family & friends.
• Training budget and company-wide learning initiatives.
• Employee Wellness Programs (including no meeting Wednesday).

*Our Wherever You Work Well philosophy means Fullscript teammates get to pick their own office—whether that’s in-office, at home, or a bit of both. For those not near a Fullscript office, remote work is supported within their home province or state, with occasional opportunities to connect in person.

Office Policy

• Remote: This role is fully remote, open to candidates located anywhere in Canada.

Fullscript is committed to diversity in its workforce and is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accommodations during the application or interview process, please let us know.

For more information and to apply, visit: Lead Machine Learning Engineer.