Principal Machine Learning Engineer

GoodRx

1d•Onsite

About The Position

GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $75 billion on the cost of their prescriptions. Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans. Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices, such as reading and adhering to the security policies and procedures, being vigilant and observant of potential security threats, etc. GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a tele-health marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com. We help Americans get the healthcare they need at a price they can afford. We believe everyone deserves affordable and convenient healthcare. We build better ways for people to find the best care at the best price. Our technology gives all Americans — regardless of income or insurance status — the knowledge, choice, and care they need to stay healthy. We’re here to help. Come and help us create the future of healthcare.

Requirements

10+ years of experience building and deploying machine learning systems at scale
Proven track record of leading and delivering large, complex ML initiatives
Strong expertise in ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and distributed systems
Extensive programming experience in Python required
Golang experience preferred
Experience in building data pipelines in cloud environment such as airflow
Experience in developing multi‑agent systems and RAG architectures
Experience with cloud platforms (AWS, GCP, Azure) and big data ecosystems
Deep understanding of MLOps and production ML systems
Experience working with AI governance guidelines and compliance requirements in the industry
Strong software engineering and system design skills
Ability to balance strategic thinking with hands-on execution
Excellent communication and stakeholder management skills.

Responsibilities

Define and drive machine learning strategy across multiple domains and product areas while actively contributing to implementation
Design, build, and scale production ML systems, pipelines, and services
Establish standards for model architecture, evaluation, deployment, and lifecycle management
Lead development of complex ML solutions, partnering with Data Scientists to bring models into production
Leverage agentic AI to speed up development and deliver features on a consistent cadence
Drive enterprise MLOps strategy, including deployment, monitoring, and model governance
Define and implement scalable feature engineering and data pipeline strategies
Lead cross-functional initiatives to improve ML system performance, reliability, and scalability
Solve highly complex, ambiguous technical problems through hands-on development and technical leadership
Mentor senior engineers and influence technical direction across teams
Evaluate and adopt new tools, technologies, and best practices to advance ML capabilities