Start your research
journey here.
We are looking for students and early-career researchers who are passionate about making AI systems more understood and generally capable.
ML Research Intern
Explore the frontiers of optimization and architecture. Assist in deriving new numerical methods for neural network layers and testing theory across different datasets.
GPU Kernel Engineering Intern
Write high-performance kernels for the next generation of AI hardware. Help implement and optimize low-level routines using Triton and CUDA.
ML Systems Intern
Work on the infrastructure that trains frontier models. Focus on distributed training efficiency, model parallelism, and novel quantization techniques.
Product Engineering Intern
Build interfaces that bridge research and product. Create data visualizations and interactive tools that help researchers understand and debug model performance.
Quantitative AI Research Intern
Apply quantitative methods to understand model scaling, feature learning, and the stability of deep learning systems through rigorous experimentation.
Questions about internships?
If you want to learn more about our internship program or the research we do, feel free to reach out.
careers@neoklislabs.com