Senior Software Engineer, Auto Labelling

You will...

• Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
• Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
• Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
• Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.

Qualifications:

• Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
• 3+ years of experience developing solutions in ML systems or the ML software stack.
• Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
• Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
• Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
• Open-minded and collaborative team player with the willingness to help others.

Bonus/nice to have:

• Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
• Experience working with large Vision-Language Models (VLMs)