Senior Machine Learning Engineer

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. 

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:  

We’re looking for a product-minded, hands-on Senior Machine Learning Engineer who can turn AI/ML ideas into high-impact, production-ready solutions. You’ll help build and scale predictive ML and GenAI systems that power core experiences for our agents and consumers—from personalized plan recommendations to process optimization and intelligent automation.

This is an end-to-end role—part builder, part researcher, part collaborator—with opportunities to shape both the technical stack and the business outcomes.

What you’ll do: 

• Design, develop and deploy ML/AI systems that solve core business problems—ranging from predictive modeling (e.g., acquisition, conversion, retention) to GenAI-powered tools (e.g., embeddings, retrieval-augmented generation).
• Build and scale ML systems end-to-end: from feature/data engineering to training, evaluation, deployment, and monitoring.
• Productionalize models using modern software engineering practices: version control, unit testing, CI/CD, scalable APIs, logging, and alerting.
• Collaborate cross-functionally with Product, Engineering, and Business teams to turn ideas into measurable value-driving ML features and services.
• Establish robust evaluation and monitoring frameworks to ensure model performance, drift detection, and business impact measurement.
• Contribute to the evolution of GoHealth’s AI/ML platform and best practices.
• Mentor junior engineers and contribute to a culture of innovation and continuous learning.

What we’re looking for: 

• 3+ years of hands-on experience in building and deploying predictive ML models (e.g., logistic regression, LGBM, time-series forecasting).
• Strong statistical and mathematical background, including experience with A/B testing, bootstrapping, sampling, and Bayesian methods.
• Experience building and shipping production ML and/or GenAI systems, with awareness of architectural and operational considerations.
• Expertise in Python and proficiency in SQL.
• Experience working in a cloud ecosystem like AWS (e.g., SageMaker, ECS, Lambda, S3) or Databricks.
• Ability to move rapidly from prototype to production with well-documented, testable code.
• Familiarity with ML observability and monitoring tools, and designing systems that track both model performance and business value.
• Ability to collaborate cross-functionally and communicate complex ML/AI concepts to technical and non-technical stakeholders.

Bonus Points For:

• Experience with GenAI tools and techniques, such as LLMs, prompt engineering, embeddings, or RAG workflows.
• Familiarity with agentic AI workflows, real-time streaming pipelines, or feature store architectures.
• Experience in healthcare, consumer, financial or investment mgmt. industries.

Location: Hybrid (Merchandise Mart, Chicago IL)

Pay Range: $130,000- $150,000

The salary range for this position reflects an expected offering for this position. An employee’s actual annual salary will be based on careful consideration of additional factors such as (but not limited to): location, relevant experience/level and skillset, education and training, internal equity as well as the scope and responsibilities of the position and market considerations. 

Perks/Benefits:

• Open vacation policy because work life balance is important
• 401k program with company match
• Medical, dental, vision, and life insurance benefits
• Paid maternity and paternity leave
• Professional growth opportunities
• Generous employee referral bonuses
• Employee Resource Groups

GoHealth is an Equal Opportunity Employer

#LI-SI1

GoHealth Privacy Policy