Applied Machine Learning Engineer

How You’ll Make an Impact

As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.

Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.

Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.

Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.

Partner with data scientists to design experiments and apply statistical concepts to real-world data.

Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our core platform is used by more than half of the nation’s leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:

• Infrastructure: AWS, Snowflake, Docker, Git Hub
• Regression (with and without Bayesian priors)
• Vector embeddings, similarity, clustering
• Core statistics and distributions for EDA
• Optimization methods (multi-armed bandit, mixed integer programming)
• Causal inference and probabilistic modeling

We’re seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:

• Strong experience implementing ML models in Python.
• Familiarity with regression, embeddings, causal inference, and optimization techniques.
• Experience applying statistical methods to exploratory data analysis.
• Comfort working with modern ML libraries and frameworks.
• Bonus points if you have worked with graph algorithms.
• Claude Code, Docker, and Git Hub computation engine experience.

Estimated Salary Range: $,000. Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs and a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary well-being benefits.

Find out more about Strata benefits here.

The preferred location for this role is in Chicago, IL or St. Louis, MO. We value our people spending time together and have campuses hosting in-person events located in both cities. We are truly a hybrid environment with the flexibility to work from home.

If you’re thinking about applying, we encourage you to apply. If you require a reasonable accommodation in completing this application or during the hiring process, please reach out to

We are committed to inclusion, equity, and belonging for all employees.

Strata participates in voluntary self-identification for government reporting purposes. Completion is voluntary and confidential. Information will be used solely for equal employment opportunity monitoring. The policy and procedures comply with applicable law.