Probabilistic Programming Bayesian Jobs (NOW HIRING)

May substitute equivalent engineering experience in lieu of education. • Strong background in probabilistic methods (e.g., Bayesian inference, filtering, estimation theory) • Proficiency in ...

Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

... probabilistic approaches * Lead cross-functional projects to define new or upgrade existing ... Experience with machine learning techniques (such as Bayesian modeling and inference techniques ...

... probabilistic approaches * Lead cross-functional projects to define new or upgrade existing ... Experience with machine learning techniques (such as Bayesian modeling and inference techniques ...

... probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches ... Engineering, Computer Science) or equivalent practical experience. • 8+ years of experience ...

We have an exciting opportunity for a Project Engineer integrated product team (IPT) leader to join ... Strong background in probabilistic methods (e.g., Bayesian inference, filtering, estimation theory)

... Engineering, or a related quantitative discipline. Experience with simulation systems, probabilistic modeling, Bayesian methods, survival analysis, causal impact modeling, reinforcement learning ...

Develop probabilistic models that quantify uncertainty and confidence in location estimates ... Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization ...

Collaborate closely with product, engineering, and data science teams to ensure research is ... probabilistic methods, Bayesian inference, and/or causal inference * Ability to work across ...

Engineer probabilistic reasoning, adaptive learning, and intelligent data‑management components ... Familiarity with neurosymbolic AI, hybrid reasoning architectures, or distributed Bayesian ...

Collaborate closely with product, engineering, and data science teams to ensure research is ... probabilistic methods, Bayesian inference, and/or causal inference * Ability to work across ...

Collaborate closely with product, engineering, and data science teams to ensure research is ... probabilistic methods, Bayesian inference, and/or causal inference * Ability to work across ...

Collaborate closely with product, engineering, and data science teams to ensure research is ... probabilistic methods, Bayesian inference, and/or causal inference * Ability to work across ...

Are you a statistician who wants to see your Bayesian models protect national security? GA ... Derive probabilistic models for target behavior and sensor measurement processes * Prototype ...

Research experience in diffusion/flow models, energy-based models, probabilistic programming, Bayesian deep learning, neural SDEs/ODEs, simulation-based inference, or scalable Monte Carlo.

Engineer probabilistic reasoning, adaptive learning, and intelligent data‑management components ... Familiarity with Neurosymbolic AI, hybrid reasoning architectures, or distributed Bayesian ...

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden ... Experience with Bayesian modeling and inference techniques for decision making under uncertainty.

Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...

... Bayesian modeling. Are you interested in applying machine learning or data mining on problems that ... Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. * Programming ...

... Bayesian modeling. Are you interested in applying machine learning or data mining on problems that ... Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. * Programming ...