Bayesian Optimization Jobs in New York (NOW HIRING)

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.

You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...

... optimal treatments for their patients. Our AI research lab discovers and develops methods to ... Design and implement novel Bayesian statistics methods. * Translate machine learning papers into ...

... and Bayesian optimization. You will work on developing agents that can learn efficient policies in complex, partially observable environments by leveraging structured world models. The immediate ...

Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...

Familiarity with Bayesian optimization, design of experiments (DoE), or active learning methods in applied settings Why This Role * Applied ML that reaches the real world: Your work accelerates R&D ...

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

Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks ... Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 ...

Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...

Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a ...

... Optimization (MMO). * Clean, prepare, and manipulate data from multiple sources using Python, R ... Support statistical and predictive modeling, including regression, econometrics, Bayesian methods ...

High-performance model implementation (vectorization, profiling/optimization); familiarity with PyTorch or JAX * Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical ...

Lead end-to-end development of advanced Marketing Mix Models from data strategy through model delivery and ongoing optimization. * Build, validate, and improve MMM frameworks using both Bayesian and ...

... optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK ...

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...

Improve existing strategies and portfolio optimization * Execution monitoring * Be a core ... Bayesian inference-as well as techniques for dealing with errors that can occur, such as auto ...

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...