[Remote] Principal Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Medical, dental, and vision insurance
- 401(k) with a company match
- An ESPP
- Unlimited vacation
- 13 paid holidays
- 72 hours of sick leave
- Mental wellness and financial wellness programs
- Fertility benefits
- Generous parental leave
- Pet insurance
- Supplemental life insurance for you and your dependents
- Company-paid short-term and long-term disability
Company Overview
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