Principal Machine Learning Engineer

GoodRx•CA HQ, CA

6d•$190,000 - $404,000•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. We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel. With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, individuals with disabilities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role! GoodRx is committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. If you need any assistance or accommodations due to a disability, please reach out to us at [email protected]. We prioritize candidate safety. Please be aware that all official communication will only be sent from @goodrx.com or [email protected] addresses. 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.

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