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Company:
EAIGLE
Location:
CA -
canada
Posted: May 8, 2025
EAIGLE is an end-to-end AI platform transforming operations in the supply chain and logistics sectors through intelligent video and sensor data. Our solutions are trusted by major logistics operators to optimize yard operations, automate vehicle access control, and enhance asset visibility, enhancing both security and operational efficiency at scale. By leveraging cutting-edge computer vision and real-time data processing, we enable enterprises to drive efficiency and resilience at scale. At EAIGLE, we're on a mission to bring AI-powered automation to the physical world, one yard at a time.
We are seeking a Senior Applied Computer Vision Researcher to join our small, dynamic, and talented R&D team. 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. We value researchers who can evaluate these models critically and translate breakthroughs into practical, scalable systems.
Research, design, and implement advanced AI technologies to improve core ML/CV algorithms and solve practical transportation and logistics challenges at scale.
~ Computer vision: object detection, classification, OCR/text recognition, camera calibration, multi-object multi-camera tracking, 3D scene modeling, 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.
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.
~ 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.
Experience with video processing, streaming, or encoding pipelines.
~ Technical Leadership experience in small R&D teams.
~ Experience building ML systems utilizing the Microsoft Azure cloud.
~ Experience working with foundational models and vision-language models for visual perception.
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 with flexibility and autonomy.
EAIGLE is an equal-opportunity employer dedicated to building a diverse workforce.
We are seeking a Senior Applied Computer Vision Researcher to join our small, dynamic, and talented R&D team. 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. We value researchers who can evaluate these models critically and translate breakthroughs into practical, scalable systems.
Research, design, and implement advanced AI technologies to improve core ML/CV algorithms and solve practical transportation and logistics challenges at scale.
~ Computer vision: object detection, classification, OCR/text recognition, camera calibration, multi-object multi-camera tracking, 3D scene modeling, 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.
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.
~ 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.
Experience with video processing, streaming, or encoding pipelines.
~ Technical Leadership experience in small R&D teams.
~ Experience building ML systems utilizing the Microsoft Azure cloud.
~ Experience working with foundational models and vision-language models for visual perception.
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 with flexibility and autonomy.
EAIGLE is an equal-opportunity employer dedicated to building a diverse workforce.
Read the full job description and apply online on the recuiter's web-site
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