Principal Machine Learning Engineer

GoodRx is the leading prescription savings platform in the U.S., trusted by millions for affordable healthcare solutions. They are seeking a Principal Machine Learning Engineer to define and drive machine learning strategy, design and scale production ML systems, and lead cross-functional initiatives to improve ML system performance.

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

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
• Golang experience preferred