GoHealth Intro:As a leading health insurance marketplace, Go Health's mission is to improve access to healthcare in America. For customers, enrolling in a health insurance plan is confusing and difficult, and seemingly small differences between plans can lead to significant out-of-pocket costs or lack of access to critical medicines and even providers. We use our technology, data science, agents, and expertise to cut through the confusion and get customers enrolled in a plan with the right coverage and benefits.
Learn more about the GoHealth Culture inthis video
Why Apply: GoHealth has established a culture where our employees feel empowered, engaged and inspired. We are looking for builders who will contribute to the long-term health of the company. We also understand that you may not check every box in our requirements list, most applicants don't! In fact, frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications. GoHealth encourages you to break that statistic and to apply today!
About the role:
GoHealth is looking for a Machine Learning Engineer to join its growing Machine Learning team, which is responsible for developing production machine learning and AI solutions that help agents effectively qualify and match individuals to the right plan to ensure a member's needs continue to be met during their healthcare journey.? You will play a pivotal, hands-on role in model training, feature engineering, parameter optimization, and integration of our models into software products that serve both our agents and consumers.? This role will directly report to our Lead Machine Learning Engineer.
What you'll do:
Conduct product, customer, and model research to optimize performance, reliability, and accuracy for GoHealth's production proprietary models.
Work cross-functionally with business stakeholders and the Product team to curate, innovate, and deliver new intelligent AI & ML solutions that drive greater efficiency, performance, and growth.
Work collaboratively with Software Engineering and Data Engineering to deliver scalable and reliable MLOps pipelines into production.
What we're looking for:
Python expertise
Proficiency in SQL
2+ years of experience building and deploying models including regression, classification, clustering, and time-series
2+ years of experience building and scaling ML pipelines on either AWS, Databricks, GCP, or Azure
Advanced knowledge across an array of machine learning and statistical techniques (Bayesian statistics, PCA, boosting, bagging, bootstrapping, etc.)
Experience with large language models is a plus
Bachelor's and/or Master's degree in a quantitative and/or engineering discipline
Location: Hybrid (Merchandise Mart, Chicago IL)
Benefits & Perks:
Open vacation policy because work life balance is important
401k program with company match
Employee Stock Purchase Program
Medical, dental, vision, and life insurance benefits
Flexible spending accounts
Paid maternity and paternity leave
Professional growth opportunities
Generous employee referral bonuses
Employee Resource Groups
Subsidized gym memberships
Commuter and transit benefits
GoHealth is an Equal Opportunity Employer
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