Strata Decision Technology, LLC-posted 2 months ago
$117,000 - $150,000/Yr
Full-time • Mid Level
Hybrid • Chicago, IL
251-500 employees
Publishing Industries

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.
  • 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.
  • NLP tasks (LLMs, spaCy, neural networks).
  • Recommender systems, latent factors, matrix factorization.
  • Graph algorithms.
  • Claude Code, Docker, and GitHub.
  • retirement benefits
  • health and welfare benefits
  • paid time off
  • parental leave
  • life and accident insurance
  • other voluntary and well-being benefits
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