Bayesian Modeling Jobs in Santa Clara, CA (NOW HIRING)

Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

Proficiency across multiple ML domains: supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics. Production-quality software engineering in Python ...

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data ...

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

Your primary focus will be leading the research and development of advanced Marketing Mix Modeling (MMM) methodologies and embedding rigorous Bayesian statistics, causal inference, and machine ...

... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

Create robust machine learning modelling systems with LLM, deep learning models as well as advanced statistical models which includes regression models, Bayesian models and online learning models to ...

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...

Strong foundation in statistical modeling, including Bayesian methods and uncertainty quantification. * Hands-on experience with time-series and geospatial data. * Exposure to atmospheric transport ...

Strong foundation in statistical modeling, including Bayesian methods and uncertainty quantification. * Hands-on experience with time-series and geospatial data. * Exposure to atmospheric transport ...