Software Engineer, ML Ops

AeroVect; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

AeroVect in Toronto is seeking a skilled Software Engineer specializing in ML Ops. The role involves developing 2D/3D deep learning models and a secondary perception system for redundancy. Candidates should possess a Bachelor’s or Master’s degree in Computer Science or related fields, with proficiency in Python, C/C++, and ROS2. The ideal applicant will have a strong background in robotics and perception systems, with a quick learning ability and action-oriented mindset.

Qualifications

• Background in perception systems in robotics domain.
• Understanding of sensing, preprocessing, detection, and tracking modules.
• Quick learning skills with a high bias for action.

Responsibilities

• Participate in developing 2D/3D deep learning models.
• Develop a secondary perception system for redundancy.
• Generate metrics and diagnostics about individual modules.

Skills

Machine Learning Operations

Computer Vision

Performance Diagnostics

Python

C/C++

ROS2

Education

Bachelor’s or Master’s degree in Computer Science

Degree in Robotics or Deep Learning

Job description

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

Job Description

We are looking for a skilled Software Engineer with a focus on ML Ops to focus on the intersection of computer vision and autonomous systems safety. You’ll be tasked with both the creative side of AI (building 2D/3D models) and the rigorous side of engineering (creating redundant systems and performance diagnostics). It is important that you will have a perception background in the robotics domain.

You will

• Participate in developing 2D/3D deep learning models
• Develop a secondary perception system for redundancy
• Generate metrics and diagnostics about individual modules in the stack

You have

• Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.
• Understanding of sensing, preprocessing, detection, tracking modules.
• Python, C/C++ and ROS2 proficiency
• Quick learning skills and high bias for action

We Prefer

• Masters in Computer Science, Robotics, or a related discipline.
• 2+ years of focused perception stack experience