Skill
Statistical Machine Learning
Data Science, Analytics and AI/ML
Statistical machine learning is a field combining statistical theory with computational algorithms to build models that learn patterns from data and make predictions or decisions, encompassing methods like regression, classification trees, and probabilistic graphical models. It is used by data scientists and researchers to develop predictive models while grounding them in rigorous statistical principles like bias-variance tradeoff and generalization error. It underlies applications ranging from recommendation systems to medical diagnosis prediction.
Open roles requiring Statistical Machine Learning (2)
Senior AI / ML Engineer (LLMs)
Plug n Play Portfolio
Full-time · New York, NY · $200,000 – $235,000 · Remote
EvolutionIQ is seeking an experienced engineer to lead the development of AI and machine learning systems for their insurance claims product, focusing on large language models, retrieval-augmented generation, and hybrid machine learning approaches. This role suits someone with 5+ years of Python experience, proven success shipping LLM-powered products, and the technical leadership skills to drive complex projects from conception through production deployment.
Listed on Plug n Play Portfolio’s careers site · Apply there ↗
Senior Staff AI Research Scientist
Intuit
Mountain View, CA · $211,500 – $306,000
Intuit seeks a research leader to advance AI/ML science across their product ecosystem, directing investigations into decision-focused systems, causal reasoning, and agentic AI while mentoring researchers and translating discoveries into customer-facing capabilities. This role suits scientists with deep publication records and proven ability to shepherd multiple concurrent research programs from conception to real-world impact.
Listed on Intuit’s careers site · Apply there ↗
Roles that use Statistical Machine Learning
Related skills
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