Bayesian Optimization Jobs in California (NOW HIRING)

... Bayesian optimization workflows to analyze existing, and design new, small and large molecules. • You will be expected to form close working relationships with small molecule and protein ...

Familiarity with Bayesian Optimization and feature engineering for time-series or signal data . * Ability to move fluidly between data exploration, engineering, and modeling tasks. Desired ...

Familiarity with Bayesian Optimization and feature engineering for time-series or signal data . * Ability to move fluidly between data exploration, engineering, and modeling tasks. Desired ...

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

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.

Multi-year transformation portfolio spanning AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across all global R&D sites * Annual program budget ...

Experience with OR-Tools, CP-SAT, ILP/MIP solvers, simulated annealing, genetic algorithms, Bayesian optimization or other metaheuristics. * Experience with graph/netlist data, geometric layouts ...

Experience with OR-Tools, CP-SAT, ILP/MIP solvers, simulated annealing, genetic algorithms, Bayesian optimization or other metaheuristics. * Experience with graph/netlist data, geometric layouts ...

Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS. The ...

Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.

Experience with algorithms relevant for materials design and discovery (Bayesian Optimization, black-box optimization, gradient-based optimization). * Experience parameterizing or developing ...