Lead Machine Learning Engineer

Company: GoodRx Holdings Inc.
Location: San Francisco
Posted on: May 3, 2024

Job Description:

Lead Machine Learning Engineer page is loaded Lead Machine Learning Engineer Apply locations Santa Monica, CA Remote USA Seattle, WA New York City, NY San Francisco, CA time type Full time posted on Posted 2 Days Ago job requisition id JR100215 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 RoleGoodRx 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 supportSkills & 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 desiredAt 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 - $323,000.00New York Office:$185,000.00 - $296,000.00Santa Monica Office:$168,000.00 - $269,000.00Other 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 . About UsWe help Americans get the healthcare they need at a price they can afford.We believe everyone deserves affordable and convenient healthcare. We build better ways for people to find the best care at the best price. Our technology gives all Americans - regardless of income or insurance status - the knowledge, choice, and care they need to stay healthy. We're here to help.Come and help us create the future of healthcare.Introduce Yourself Not finding the right fit? There are two ways to let us know you're interested in future opportunities:
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Keywords: GoodRx Holdings Inc., Brentwood , Lead Machine Learning Engineer, Engineering , San Francisco, California