On-site · Montréal
Design and implement innovative machine learning models to address complex AI security problems. Collaborate with mathematicians and researchers to integrate theoretical advancements into applied ML algorithms.
On-site · Montréal
Collaborate with researchers to accelerate research, training, and inference of models. Design and implement experimentation pipelines for testing scenarios and large-scale projects.
On-site · Montréal
The role involves collaborating with machine learning researchers to accelerate model training and inference, focusing on large-scale models in distributed computing environments. Key tasks include investigating performance bottlenecks, profiling research code, debugging issues, optimizing resource utilization, and developing software tools to simplify distributed computing workflows.
