[Remote] Machine Learning Research Engineer | Remote

Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Machine Learning Research Engineer to design graduate-level computational problems using Bayesian statistics and applied mathematics. The role involves creating benchmark 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
• Develop tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observations
• Construct problems involving numerical PDE solving, finite element or finite difference methods, mesh-based modeling, or computational physics-style simulations
• Demonstrate strong Python programming skills for building probabilistic models, simulation pipelines, oracle 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 benchmark 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
• Develop tasks involving MCMC methods, hierarchical Bayesian modeling, uncertainty quantification, or inference under noisy and partial observations
• Construct problems involving numerical PDE solving, finite element or finite difference methods, mesh-based modeling, or computational physics-style simulations
• Demonstrate strong Python programming skills for building probabilistic models, simulation pipelines, oracle 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 benchmark design, computational reproducibility, or advanced mathematical modeling frameworks

Benefits

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

Company Overview