Bayesian Optimization Jobs in Hercules, CA (NOW HIRING)

Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy

Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy

Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. * Track record of developing ML approaches ...

Expert-levelproficiencyacross optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks. * Technical Stack: Deep hands-on coding experience in big data ...

Expert-level proficiency across optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks. * Technical Stack: Deep hands-on coding experience in big data ...

Expert-level proficiency across optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks. * Technical Stack: Deep hands-on coding experience in big data ...

Expert-levelproficiencyacross optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks. * Technical Stack: Deep hands-on coding experience in big data ...

Expert-level proficiency across optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks. * Technical Stack: Deep hands-on coding experience in big data ...

Design and iterate models that estimate fair market value, recovery potential, and optimal ... Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling)

Bayesian and probabilistic decision frameworks * Clinical trial simulation and optimal design * Toxicokinetics and translational safety modeling * Pharmacogenomics and precision medicine approaches

Bayesian and probabilistic decision frameworks * Clinical trial simulation and optimal design * Toxicokinetics and translational safety modeling * Pharmacogenomics and precision medicine approaches

Optimization, sampling, amortized inference, sequential decision-making, Bayesian experimental design, reinforcement learning, planning, and control. * Scientific reasoning systems, model-guided ...

Beneficial Skills • Practical experience with active learning, Bayesian optimisation, conformal prediction, or uncertainty quantification in iterative real-world loops. • Familiarity with ...

... optimization, causal inference • Proficient Python developer - can write production-quality code ... Bayesian and frequentist statistical methods Preferred : • Published applied research or ...

... Bayesian methods, hierarchical and hybrid statistical-ML architectures), going beyond standard ... cost optimization, acting as the technical authority on what the models can and can't tell them.

Write Python to estimate autonomy-level risk using Bayesian models inside our Probabilistic Risk ... physical spaces, optimization, root-finding * Reproducibility and auditability discipline ...

Write Python to estimate autonomy-level risk using Bayesian models inside our Probabilistic Risk ... physical spaces, optimization, root-finding * Reproducibility and auditability discipline ...

Write Python to estimate autonomy-level risk using Bayesian models inside our Probabilistic Risk ... physical spaces, optimization, root-finding * Reproducibility and auditability discipline ...

Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online ... Experience building personalization, ranking, recommendation, optimization, or allocation systems

Fluency in vector and tensor calculus, Maxwell's equations in arbitrary geometries, hyperbolic PDEs and numerical schemes, Bayesian statistics, and optimization under constraints. * Production-grade ...