Join Fullscript as a Lead Machine Learning Engineer

Fullscript is committed to making optimal care accessible to everyone. Our cutting-edge care delivery platform empowers health practitioners to effortlessly design personalized health plans, provide support and education, and prescribe top-tier supplements—all seamlessly integrated into one system.

Since 2011, Fullscript has supported over 90,000 practitioners and aided more than 5.5 million patients on their wellness journeys. And we’re just getting started. Join us in building a healthier future.

About the Role

We are seeking a Lead Machine Learning Engineer to join our Data team. Fullscript offers a unique opportunity to harness our mission-driven goals and vast data resources to advance integrative care beyond traditional limits. As one of our pioneering Lead Machine Learning Engineers, you will play a pivotal role in transforming the future of integrative care through innovative data-driven solutions.

Collaborate with our Data, Engineering, and Product teams to realize our vision. This role provides a distinct opportunity for you to:

• Develop the premier integrative care platform, enhancing practitioner workflows with treatment plan recommendations and personalized product suggestions based on individual needs and timing.
• Partner with our Data and Engineering teams to create the necessary machine learning infrastructure to achieve our goals.
• Work closely with leadership to identify and exploit opportunities where AI/ML can resolve challenges for practitioners and patients.

Responsibilities

• Design, develop, and implement sophisticated machine learning models and algorithms to solve complex business problems, driving the success and growth of our organization.
• Provide expert guidance and leadership to explore and evaluate opportunities where machine learning and AI can enhance integrative care for our practitioners and patients.

Qualifications

• 5+ years of experience as a Machine Learning Engineer or a similar role, with proven success in cross-functional collaboration with Engineering, Data, Product, and UX teams.
• Experience with Large Language Models (GPT, Gemini, Claude, etc.) and LLM frameworks (Langchain).
• Strong capability to understand diverse business domains and offer leadership in finding machine learning applications to solve specific problems.
• Expertise in 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 convey technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with dbt (data build tool) or other data transformation tools (Spark).
• Experience with Cloud Data warehouses like Snowflake, BigQuery, and RDBMS (PostgreSQL, MySQL).
• Experience building recommender systems.

What We Offer

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

*Our "Wherever You Work Well" philosophy means Fullscript teammates can choose their own work environment—whether that’s in-office, at home, or a combination of both.

Diversity and Inclusion

Fullscript is committed to building a diverse workforce and is proud to be an equal opportunity employer. We welcome talented individuals from all backgrounds to join our team. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, national or ethnic origin, gender, age, disability, sexual orientation, gender identity and/or expression, marital or civil status, political affiliation, family or parental status, or any other status protected by laws or regulations in the jurisdictions where we operate.

Accommodations are available upon request for candidates participating in all aspects of the selection process. Please email [email protected] with your