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Computer Vision Pipeline Engineer jobs in United States
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EAIGLE · 1 month ago

Computer Vision Pipeline Engineer

positionCanada
timeFull-time
remoteRemote
seniorityMid Level
date3+ years exp
EAIGLE is an end-to-end AI platform transforming operations in the supply chain and logistics sectors through intelligent video and sensor data. The role involves building production computer vision systems that process real-world images and video at scale, owning the end-to-end vision pipeline from ingestion to delivery.
Artificial Intelligence (AI)

Responsibilities

Design and build image/video CV pipelines (ingestion → preprocessing → inference → post-processing)
Deploy and operate computer vision models in production
Optimize pipelines for latency, throughput, and cost (GPU/CPU tradeoffs)
Work with video streams (RTSP, files, cameras) and real-world data quality issues
Implement model versioning, monitoring, and feedback loops
Collaborate with backend and platform engineers on APIs and infrastructure

Qualification

Computer VisionProduction ML systemsOpenCVPyTorchTensorFlowDockerAPIsCloud environmentsVideo analyticsEdge AIGPU inference optimizationLogistics backgroundRobotics backgroundSurveillance backgroundIndustrial CV backgroundStartup experienceProduct-focused teams

Required

3+ years building production computer vision or ML systems
Strong experience with Computer Vision (object detection, classification, tracking, OCR, etc.)
Hands-on experience with OpenCV, PyTorch or TensorFlow
Experience deploying models as services or pipelines
Comfortable with Docker, APIs, and cloud environments
Able to debug real-world CV failures (lighting, angles, false positives)
Must be based in Ontario, Canada
Must be legally eligible to work in Canada (no sponsorship required)

Preferred

Experience with video analytics or edge AI
GPU inference optimization (TensorRT, CUDA, etc.)
Background in logistics, robotics, surveillance, or industrial CV
Experience working in startup or product-focused teams

Benefits

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.
A remote-first work environment with flexibility and autonomy.

Company

EAIGLE

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We help your enterprise leverage AI-powered vision data to address security, transportation, and operational challenges.
dateFounded in 2018
location
Markham, Ontario, CAN
people-size11-50 employees
web-link
https://www.eaigle.com

Funding

Current Stage
Early Stage
Total Funding
unknown
Key Investors
National Research Council of Canada Industrial Research Assistance Program
2023-02-01Seed
2022-10-27Seed
2021-06-01Grant

Leadership Team

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Anthony D'Amore
COO & CFO
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Recent News

PR Newswire
Keller Logistics Group Pioneers a New Standard with Its Hybrid YMS/Yard Services Solution
2025-11-25
PR Newswire
EAIGLE Appoints Sam Saad as Chief Commercial Officer to Lead Next Phase of Growth
2025-05-20
Google Patent
Systems and Methods for Processing Images to Detect Text
2025-04-03
Company data provided by crunchbase