Junior Computer Vision Engineer

PolyLingua AI

Remote · $58K – $72K · Full-time · Posted 6 months ago

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About the role

We build smart camera systems for retail stores — the kind that track inventory levels, detect shelf gaps, and flag planogram compliance in real time. We're 22 people, growing fast, and deeply excited about what computer vision can do when it's applied to messy, imperfect real-world environments. We need a junior CV engineer who has worked with image datasets before, knows PyTorch and at least one computer vision framework, and is genuinely energised by the challenge of getting models to work in production conditions — bad lighting, partially obscured products, cameras at weird angles. Our computer vision lead has eight years in the field and will actively mentor you. This is not a solo job. You'll have daily guidance and a clear growth path.

Fully remote.

Responsibilities

Train and evaluate computer vision models for shelf monitoring tasks
Prepare and augment training datasets from store camera footage
Test model performance across diverse lighting and angle conditions
Document experiments and maintain a model performance log
Collaborate with the hardware team on camera calibration and deployment constraints

Requirements

Working knowledge of PyTorch for image model training and evaluation
Familiarity with computer vision fundamentals — object detection, image classification, dataset preparation
Basic Python and NumPy for data wrangling and model scripting
Exposure to TensorFlow or Keras is a plus — not required
Able to read and understand CV research papers and apply ideas experimentally
Any hands-on project involving real image data (retail, robotics, medical, any domain) is valued