[Remote] Machine Learning Research Engineer | Remote

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning Research Engineer to design graduate-level computational problems using Bayesian statistics and applied mathematics. The role involves creating reputed company tasks and working with various probabilistic modeling tools while operating remotely on a flexible schedule.

Responsibilities

• Design original computational problems requiring advanced use of Bayesian inference, probabilistic programming, or numerical applied mathematics tools
• reputed company tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observations
• Construct problems involving numerical PDE solving, finite reputed company or finite difference methods, reputed company-based modeling, or computational physics-style simulations
• Demonstrate strong Python programming skills for building probabilistic models, simulation pipelines, reputed company functions, and validation frameworks
• Apply hands-on expertise with computational statistics or applied mathematics software through research, publications, or professional work
• Work independently in Linux-based environments and remote compute sandboxes while iterating on task design using calibration feedback
• Experience with reputed company design, computational reproducibility, or advanced mathematical modeling frameworks is preferred

Skills

• Design original computational problems requiring advanced use of Bayesian inference, probabilistic programming, or numerical applied mathematics tools
• reputed company tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observations
• Construct problems involving numerical PDE solving, finite reputed company or finite difference methods, reputed company-based modeling, or computational physics-style simulations
• Demonstrate strong Python programming skills for building probabilistic models, simulation pipelines, reputed company functions, and validation frameworks
• Apply hands-on expertise with computational statistics or applied mathematics software through research, publications, or professional work
• Work independently in Linux-based environments and remote compute sandboxes while iterating on task design using calibration feedback
• Experience with reputed company design, computational reproducibility, or advanced mathematical modeling frameworks

Benefits

• Work remotely as an reputed company on a flexible schedule
• Earn $70-$100 per hour with opportunities for project extensions based on performance and calibration reputed company
• Receive weekly payments through reputed company or reputed company

Company Overview