Fullscript is making optimal care easy for everyone. Through our care delivery platform, health practitioners can seamlessly design personalized health plans, provide support and education tools, and effortlessly prescribe and manage the use of healthcare's best supplements — all in one place.Since 2011, Fullscript has enabled over 90,000 practitioners to deliver care and has helped more than MIL patients follow a path to wellness. And we are just getting started. Come build a healthier future with us.We’re hiring a Lead Machine Learning Engineer to join our Data team. Fullscript is in a unique position to leverage our mission and wealth of data to help take integrative care to a level not previously possible. As one of Fullscript's first Lead Machine Learning Engineers, you will play a crucial role in shaping the future of integrative care by leveraging our mission and extensive data resources.Join us in revolutionizing the field of integrative care through cutting-edge machine learning techniques and make a significant impact on the healthcare industry.
Working closely with our Data, Engineering, and Product teams, you will have the opportunity to bring our vision to life. This position presents a unique opportunity where you will :
- Drive tangible value for our practitioners and patients by developing the best integrative care platform, addressing challenges such as simplifying the practitioner workflow through treatment plan recommendations and providing personalized product recommendations based on individual needs and timing.
- 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.
What you'll do :
Design, develop, and implement machine learning models and algorithms to solve complex problems that will directly impact the success and growth of our organization as we strive to deliver innovative solutions powered by machine learning.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.What you bring to the table :
5+ years experience as a Machine Learning Engineer or similar role, with a track record of successfully working cross functionally with Engineering, Data, Product, UX to bring ML solutions to production.Experience with Large Language Models (GPT, Gemini, Claude, etc) and LLM frameworks (Langchain)Demonstrated ability to understand different business domains and provide guidance and leadership in identifying opportunities to apply machine learning to help solve problems.Strong understanding of machine learning algorithms, statistical models, and data mining techniques.Proficiency in Python and SQLFamiliarity with common machine learning tools and libraries (, 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 if you have :
Experience working with dbt (data build tool) or other data transformation tools (Spark)Experience working with Cloud Data warehouses like Snowflake, BigQuery and RDBMS (PostgreSQL, MySQL)Experience building recommender systemsWhat we can offer you :
Ability to work Wherever You Work WellHalf (Flex) Day FridaysFlexible Paid Time Off programFullscript’s RRSP match programStock OptionsCustom benefits package (medical, dental, vision) with HSADiscount on Fullscript catalog of products for family & friendsTraining budget and company-wide learning initiativesEmployee 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 🐶🏡Fullscript is committed to diversity in its workforce and is proud to be an equal opportunity employer. We are excited to work with talented people, period. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, 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 the laws or regulations in the jurisdictions in which we operate. Accommodations are available on request for candidates taking part in all aspects of the selection process. Please send an email to and let us know the nature of your request and your contact information.Our team handles a lot of sensitive information, which means we require all candidates that receive and accept employment offers to complete a background check before being hired.