Climate AI/ML Engineer for HPC & GPU Compute (Hybrid)

The University Of Chicago; Chicago (IL); Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

Health benefits

Retirement plans

Paid time off

Job summary

The University Of Chicago is seeking a Computational Scientist – AI/ML Engineer for hybrid work in Chicago. This role involves developing software to support research projects in climate science and contributing to advanced AI initiatives in collaboration with major institutions.

Ideal candidates should bring Python/C++ expertise and experience with AI/ML frameworks. The position offers a collaborative environment, requiring solid programming and research skills to optimize AI workflows and enhance scientific discovery.

Qualifications

• Minimum college degree in a related field.
• 2-5 years of work experience in related job discipline.
• Experience in AI/ML and climate science.

Responsibilities

• Support computational applications and workflows for climate sciences.
• Collaborate with researchers on AI/ML solutions.
• Deploy AI/ML pipelines on HPC and GPU systems.

Skills

Python programming

C++ programming

AI/ML frameworks (PyTorch, TensorFlow)

Linux/UNIX

GPU-accelerated systems

Scientific computing libraries (NumPy, SciPy)

Large-scale datasets

Container technologies (Docker)

Education

PhD in relevant field (Computer Science, etc.)

Tools

HPC systems

SLURM

MPI and OpenMP

Vision Transformers

Job description

The University Of Chicago is seeking a Computational Scientist – AI/ML Engineer for hybrid work in Chicago. This role involves developing software to support research projects in climate science and contributing to advanced AI initiatives in collaboration with major institutions.

Ideal candidates should bring Python/C++ expertise and experience with AI/ML frameworks. The position offers a collaborative environment, requiring solid programming and research skills to optimize AI workflows and enhance scientific discovery.