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:
1. Click -Get Started below.
2. Click Sign In at the top of the page to create an account and
set up email alerts as new job postings become available that meet
your interest.
#J-18808-Ljbffr
Keywords: GoodRx Holdings Inc., San Rafael , Lead Machine Learning Engineer, Engineering , San Francisco, California
Didn't find what you're looking for? Search again!
Loading more jobs...