Probabilistic Programming Bayesian Jobs (NOW HIRING)

Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and ... Familiarity with feature engineering, model validation, and performance tuning * Exposure to ML ...

Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and ... Familiarity with feature engineering, model validation, and performance tuning * Exposure to ML ...

Experimental Design & Bayesian Optimization for New Product Development * Design and apply advanced ... Strong foundation in applied statistics, experimental design, and probabilistic modeling.

Cerebras Systems builds the world's largest AI chip, and they are seeking an engineer to define and ... and probabilistic modeling (e.g., survival analysis, hazard models, Bayesian methods) • ...

... engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling ... Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational ...

Experimental Design & Bayesian Optimization for New Product Development * Design and apply advanced ... Strong foundation in applied statistics, experimental design, and probabilistic modeling.

Experimental Design & Bayesian Optimization for New Product Development * Design and apply advanced ... Strong foundation in applied statistics, experimental design, and probabilistic modeling.

We are seeking an engineer to define and build our prognostics and health monitoring (PHM ... probabilistic modeling (e.g., survival analysis, hazard models, Bayesian methods) * Experience with ...

... engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling ... Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational ...

... probabilistic approaches. * Architect and integrate complex combinations of motion planning and ... Experience with Bayesian modeling and inference techniques for decision making under uncertainty.

... engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling ... Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational ...

Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification * Experience designing evaluation and monitoring ...

Experimental Design & Bayesian Optimization for New Product Development * Design and apply advanced ... Strong foundation in applied statistics, experimental design, and probabilistic modeling.

Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification * Experience designing evaluation and monitoring ...

... engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling ... Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational ...

... probabilistic prediction, Bayesian/ensemble methods. • Development and use of atomic-scale ... Preferred : • Solid Background in materials science and engineering. • Experience training ML ...

... Bayesian statistics and simulation methods in generating probabilistic outcomes • Able to extract information from databases using a variety of software packages (e.g., Oracle SQL developer) • ...

Based in New York, we focus on turning advanced modeling, probabilistic reasoning, and quantitative ... We operate at the intersection of AI research, financial engineering, and product design , and we ...

... model, Bayesian statistics, ridge regression, structural equations, probability theory, and ... engineering, dimensionality reduction (e.g., PCA), model validation, data visualization, cloud ...

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