Principal Machine Learning Engineer
GoodRx · United States
- Hybrid
- Full-time
- $253,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Lead ML strategy and implementation.
- Build and scale production ML systems.
- Drive enterprise MLOps strategy.
- Develop complex ML solutions with AI.
- Mentor engineers and influence direction.
About the role
About GoodRx
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.
Major 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 & Qualifications
- 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.
Security and Compliance
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.Compensation and Benefits
At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below are shown as a guideline, and the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, and other relevant business and organizational factors. These pay zones may be modified in the future. Please contact your recruiter for additional information.San Francisco And Seattle Offices
$253,000.00 - $404,000.00
New York Office
$232,000.00 - $371,000.00
Santa Monica Office
$211,000.00 - $337,000.00
Other Office Locations:
$190,000.00 - $303,000.00
GoodRx also offers additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like 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, and more!
Commitment to Diversity and Inclusion
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!
Equal Opportunity Employer
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 accommodations@goodrx.com.We prioritize candidate safety. Please be aware that all official communication will only be sent from @goodrx.com or goodrx@myworkday.com addresses.
About GoodRx Again
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.goodrxrx.com.Key skills/competency
Skills & topics
- Machine Learning
- Python
- MLOps
- TensorFlow
- PyTorch
- AWS
- GCP
- Azure
- Data Pipelines
- System Design
- Principal Engineer
- AI
- Agentic AI
- RAG
How to get hired
- Tailor your resume: Highlight your 10+ years of ML experience, Python/Golang skills, and MLOps expertise.
- Showcase leadership: Emphasize your track record of delivering complex ML initiatives and technical leadership.
- Demonstrate strategic thinking: Clearly articulate your ability to balance strategy with hands-on execution in ML.
- Prepare for technical interviews: Brush up on ML frameworks (TensorFlow, PyTorch), distributed systems, and cloud platforms (AWS, GCP, Azure).
- Understand GoodRx culture: Research their mission to make healthcare affordable and their commitment to diversity.
Technical preparation
Master ML frameworks like TensorFlow, PyTorch.,Practice Python and Golang coding.,Design and implement data pipelines.,Understand MLOps and cloud systems.
Behavioral questions
Describe a complex ML project you led.,How do you balance strategy and execution?,How do you mentor other engineers?,How do you handle ambiguous technical problems?
Frequently asked questions
- What are the primary responsibilities of a Principal Machine Learning Engineer at GoodRx?
- As a Principal Machine Learning Engineer at GoodRx, you will define and drive machine learning strategy, design and scale production ML systems, lead the development of complex ML solutions, and drive enterprise MLOps strategy. You'll also mentor senior engineers and influence technical direction.
- What are the essential technical skills required for this Principal Machine Learning Engineer role at GoodRx?
- Key technical skills include 10+ years of experience in ML systems, expertise in ML frameworks (TensorFlow, PyTorch, XGBoost), strong Python programming (Golang preferred), experience with cloud platforms (AWS, GCP, Azure), big data ecosystems, MLOps, and system design.
- Does GoodRx offer remote or hybrid work arrangements for Principal Machine Learning Engineers?
- The job description mentions various office locations (San Francisco, Seattle, New York, Santa Monica) and 'Other Office Locations,' implying on-site or potentially hybrid roles. It is best to confirm the specific work arrangement with the recruiter.
- What is the typical experience level GoodRx looks for in a Principal Machine Learning Engineer candidate?
- GoodRx seeks candidates with over 10 years of experience in building and deploying machine learning systems at scale, along with a proven track record of leading and delivering large, complex ML initiatives.
- How does GoodRx approach AI governance and compliance for ML projects?
- The role involves working with AI governance guidelines and compliance requirements in the industry. GoodRx emphasizes supporting appropriate security controls and adhering to best practices in engineering.
- What kind of career growth and mentorship opportunities are available for a Principal Machine Learning Engineer at GoodRx?
- As a Principal Engineer, you will mentor senior engineers and influence technical direction across teams. This role offers significant opportunities for leadership and shaping the ML roadmap within GoodRx.
- Can I apply for the Principal Machine Learning Engineer position if I don't meet 100% of the listed qualifications?
- GoodRx strongly encourages applications from candidates who may not meet every qualification. They are committed to diversity and leveling the playing field, so please apply if you are interested.