Apply on Kit Job: kitjob.ca/job/2g8nfz

Embrace a pivotal role as an ML Systems Software Engineer focused on inference and performance. Innovate and optimize code for ML models that drive advanced imaging systems.

This on-site position involves collaborating with a talented team in the Imaging & AI sector. You will be responsible for creating productive inference pipelines while optimizing resource use on GPUs and CPUs. Your tasks will include implementing automated training infrastructures, improving software maintainability, and ensuring high production quality standards throughout the project lifecycle.

Key Responsibilities:



• Build and maintain data inference pipelines effectively • Profile and optimize end-to-end data paths • Write and review modular software with top coding standards • Develop systems for model training and automatic retraining • Create best practices for model and dataset management

Requirements: • Bachelor’s degree in Computer Science or equivalent • 2+ years of relevant software engineering experience • High proficiency in Python and its performance optimization • In-depth knowledge of PyTorch for model integration • Familiarity with deployment methodologies and optimization techniques

Utilize your expertise to shape and advance the field of machine learning within sophisticated imaging technologies. #J-18808-Ljbffr

Apply on Kit Job: kitjob.ca/job/2g8nfz

📌 Experienced Software Engineer for ML Systems Optimization (Vancouver)
🏢 DarkVision
📍 Vancouver