Lead Machine Learning Engineer

June 13

Apply Now

Receive Emails with Similar Jobs

Fullscript

WebsiteLinkedInAll Job Openings

Integrative Medicine • e-commerce • Dispensing Platform • Inventory management • health technology

201 - 500 employees

Founded 2016

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $240M Private Equity Round on 2021-11

Description

• 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

Requirements

• 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 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

Benefits

• 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)