Principal Machine Learning Engineer

🕒 August 5

🇺🇸 United States – Remote

💵 $190k - $404k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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GoodRx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 $100M Private Equity Round on 2020-09

Consulting • Insurance • Logistics

GoodRx is a company that helps consumers in the United States save money on their prescription medications. They provide a platform that allows users to compare drug prices and find the lowest costs at pharmacies in their area. GoodRx aims to make prescription medications more affordable for individuals by offering discounts and coupons.

📋 Description

• Define and drive machine learning strategy across multiple domains and product areas while 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 and partner with Data Scientists to bring models into production • Leverage agentic AI to accelerate development and deliver features consistently • 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 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 • Support appropriate security controls and adhere to GoodRx security policies and procedures

🎯 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 such as TensorFlow, PyTorch, and XGBoost • Extensive programming experience in Python required • Experience with Golang preferred • Experience building data pipelines in a cloud environment such as Airflow • Experience developing multi-agent systems and RAG architectures • Experience with cloud platforms including AWS, GCP, and Azure • Experience with 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 • Ability to support security controls and adhere to security policies and procedures

🏖️ Benefits

• Annual cash bonuses or commission • Annual equity grants for most positions • Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • ESPP • Unlimited vacation • 13 paid holidays • 72 hours of sick leave • Mental wellness programs • 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 • Reasonable accommodations during the recruiting process