Strata aims to build advanced AI and ML capabilities into its platform to drive innovation in generative AI, integrate and customize machine learning techniques to solve complex problems in healthcare, develop next-generation AI agents, algorithms, and computation engines, strengthen market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.
Requirements
- 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.
Responsibilities
- 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.
Other
- The preferred location for this role is in Chicago, IL or St. Louis, MO.
- We are truly a hybrid environment with all team members experiencing the flexibility to work from home.
- A true passion and excitement for making an impact is just as important as work experience.
- We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
