Bayesian Modeling Jobs in Texas (NOW HIRING)

This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial ... Bayesian) spatial statistics, spatial accessibility, and spatial optimization • Knowledge of ...

Lead basin-specific calibration of RCI utilizing statistical and quantitative modeling methods, including Bayesian updating or equivalent methodologies. * Develop and evaluate methodologies ...

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures. * Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and ...

Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures. Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and ...

Bayesian machine learning * Multi-task learning * Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including ...

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis ...

... model quality sign-off in a cross-functional launch process Preferred Qualifications PhD in Computer Science, Data Science, Statistics, AI/ML, or a related field. Experience with Bayesian or causal ...

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

... model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation ...

... model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation ...

Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement ...

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial ... Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...

... models are tested, monitored, and maintained post-launch Preferred Qualifications PhD in Computer Science, Data Science, Statistics, AI/ML, or a related field. Experience with Bayesian or causal ...