Computer Vision Engineer

Do you get a thrill from making machines see? Ever looked at YOLO, SAM, or Vision Transformers and thought: I can push this further? Do you secretly enjoy wrestling with chaotic, real-world data until it finally makes sense?

If yes, you might be the engineer we’re looking for.

At Bipolar Factory, we’re reimagining what’s possible with AI. We’re a small team full of brilliant minds building products where computer vision isn’t just a feature – it’s the heart of it all. And we want someone who can help us make it stronger and shape the future of visual AI.

• Build, train, and ship models that detect, segment, classify, and track in the wild.
• Experiment with the latest architectures and invent your own twists.
• Take messy, real-world data and make it model-ready.
• Optimize for speed: edge devices, low-resource setups, real-time inference.
• Collaborate with product and backend folks to turn research into products people use.

• 2–3 years in computer vision or AI engineering.
• Fluent in Python + PyTorch/TensorFlow.
• Solid grasp of CNNs, image processing, and modern CV techniques.
• Comfort with OpenCV, ONNX, TensorRT, FastAPI, etc.
• You write clean, modular code and you love experimenting.

Bonus points if:

• You’ve worked with Jetsons, Pis, or other edge toys.
• You’ve dabbled in generative models (GANs, Diffusion).
• You’ve contributed to open source or published research.
• You’ve scaled training/deployment on AWS or GCP.

• You won’t just be implementing—you’ll be inventing.
• Your work won’t sit in a paper or a repo. It’ll power live products.
• No layers of hierarchy so your ideas move fast.
• Creative freedom and a team that thrives on bold thinking.