Lead Machine Learning Engineer

Santa Monica, CA, United States

GoodRx is America's healthcare marketplace. Each month, millions of people visit goodrx.com to find reliable health information and discounts for their healthcare - and we've helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.

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.

About the Role

GoodRx is looking for an experienced Lead Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx's platform for both customers and stakeholders. The Ideal candidate should possess a unique combination of practical, hands-on data and analytics technical expertise and building data services and products with a large volume of datasets and strong understanding of inner working of various machine learning models.

Major Responsibilities:

Lead the development and implementation of analytical capabilities and applications

Lead the creation of machine learning (deep learning) models and pipelines, ensuring the production of quality code and its maintenance

Direct the development of personalization services, microservice endpoints, and cross-platform data products/services for Android, iOS, and Web/Mobile Web

Oversee technology proof of concept projects, collaborating with other machine learning engineers to enhance infrastructure, as well as improve reliability and efficiency

Standardize the framework for machine learning algorithm development and deployment utilizing a data science workbench

Collaborate with Data Scientists and Analysts to transition prototypes/MVPs into production deployments

Address complex technical challenges through debugging, research, and investigation

Participate in every phase of the product development life cycle, including design, development, testing, iteration, and deployment

Analyze data to gain insights into user behavior, product usage, audience segmentation, location intelligence, third-party data enrichment/append, and content consumption to inform business decisions

Mentor junior engineers, providing guidance and support

Skills & Qualifications: Master's degree in Machine Learning, Computer Science, MIS, Mathematics, Operations Research or related field is required

7+ years of professional experience in building machine learning systems at scale

Experience in developing machine learning systems/applications on AWS, GCP or Azure

Strong programming skills in Python, Scala, Golang

Experience working with Databricks

Experience working with Apache Spark (SQL, MLlib, Streaming)

Theoretical and practical implementation experience of machine learning techniques and algorithms (at least 4 of the following): factorization machines/SVM, k-NN, Naive Bayes, Clustering, Regression (OLS, Logistic, MNL), Decision Forests/Trees/Classifiers, Linear and Nonlinear Optimization

Expertise in deep learning frameworks such as TensorFlow, PyTorch, MXNet

Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems

Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

Deep understanding of data engineering practices both in modern data lakes and traditional data warehouse eco systems that are scalable for Structured, Semi-structured and unstructured data

Strong SQL skills. Strong analytical, and data modeling skills. Advanced understanding of data pipelines and ETL processes

Strong knowledge of System Development Life Cycle (SDLC)

Demonstrated experience in organizing work and managing multiple potentially conflicting priorities while collaborating with stakeholders across multiple functions

Strong interpersonal, presentation and communication skills

Agile development experience is desired

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:

$202,000.00 - $323,000.00

New York Office:

$185,000.00 - $296,000.00

Santa Monica Office:

$168,000.00 - $269,000.00

Other Office Locations:

$151,000.00 - $242,000.00

GoodRx also offers additional compensation programs such as annual cash bonuses 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!

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, 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 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 telehealth 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.