Senior Applied Computer Vision Researcher

2 days ago

Greater Toronto Area, Canada EAIGLE Full time

About EAIGLE


EAIGLE is a leader in AI-driven solutions for the supply chain and logistics industry, helping our clients unlock efficiency and innovation in complex operational environments. We are seeking a Senior Applied Computer Vision Researcher to join our small, dynamic, and talented R&D team. In this role, you will leverage your expertise to develop innovative AI-driven solutions for real-world, large-scale applications that aim to disrupt the logistics and transportation industry. This position offers access to extensive datasets, advanced in-house and cloud computing resources, and unique control over sensor selection and placement to design, train, and deploy cutting-edge AI models. In this role, you will also act as a technical reference for the team, you will mentor junior researchers, contribute to shaping the research roadmap, and have the opportunity to evolve into a technical leadership role in the future.


What you'll do

●      Research, design, and implement advanced AI technologies to improve core ML/CV algorithms and solve practical transportation and logistics challenges at scale.

●      Focus on areas such as:

○      Computer vision: object detection, classification, OCR/text recognition, camera calibration, multi-object multi-camera tracking, 3D scene modelling, and map building.

○      Deep learning techniques: self-supervised learning, transfer learning, few-shot learning, and active learning.

●      Collaborate with software engineers and product managers to deliver robust, scalable AI solutions.

●      Provide technical feedback on experiments and code reviews, ensuring high-quality outputs from the team.

●      Mentor and guide junior researchers, fostering their growth and development.

Conduct original, publishable research and contribute to the company’s intellectual property portfolio.


What you need

●      Education: Master’s or PhD in Computer Science, Electrical/Computer Engineering, or a related field with a focus on computer vision and machine learning.

●      Experience: At least 10 years (with a Master’s) or 5 years (with a PhD) of experience in the full ML/AI lifecycle, including model development, training, testing, deployment, monitoring, and iteration on generalization. 

●      Proven ability to develop large-scale systems for video/image data processing in real-time, on-premise, and cloud environments.

●      Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.

●      Strong ML/CV engineering mindset to turn prototypes and POCs into scalable and reliable processing systems 

●      Strong programming skills in Python with knowledge of software development best practices.

●      Solid understanding of software architecture, data structures, and scalable system design.

●      Excellent communication and leadership skills to serve as a technical reference for the team.


Preferred Qualifications

●      Experience with video processing, streaming, or encoding pipelines.

●      Familiarity with edge computing and low-power ML processors.

●      Technical Leadership experience in small R&D teams.

●      Experience with human-in-the-loop AI systems.

●      Experience building ML systems utilizing the Microsoft Azure cloud. 


What we offer

●      A competitive compensation package, including base salary and stock options.

●      The opportunity to work in a startup environment, where your contributions directly impact the company’s growth and success.

●      Access to cutting-edge technology, tools, and datasets to drive meaningful applied research work.

●      A remote-first work environment.

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