We're hiring 2 Computer Vision Engineers.
- Hours: New York hours, full-time. That's 6 PM – 3 AM in Pakistan for most of the winter, an hour earlier the rest of the year. Pick and drop for women.
We don't want people who've only trained models in notebooks. We want engineers who can take a vision problem from raw images or video to a model running reliably in production, and own it end to end.
If your models have never left Jupyter, this isn't for you. If you've shipped vision systems that real users depend on, keep reading.
What you'll do
- Build and ship computer vision systems: detection, segmentation, classification, tracking, OCR and document understanding
- Take models from data to production: collecting and labelling data, training, evaluating, optimizing and deploying
- Work with modern vision and multimodal models, from YOLO-style detectors to vision-language models and LLM APIs
- Optimize models for speed and cost on GPU, edge and cloud (ONNX, TensorRT, quantization)
- Build the Python services and pipelines around your models, and integrate them into real products
- Use AI tools (Claude, Cursor, Copilot, agents) every day to ship faster and better. We pay for them.
- Own your models after launch: monitor accuracy, catch drift and fix what breaks
What we're looking for
- Mid to senior experience in computer vision, with models running in production
- Strong Python, with PyTorch (or TensorFlow) and OpenCV
- Solid grasp of deep learning fundamentals. You know why a model fails, not just that it does.
- Experience deploying models: APIs, Docker, cloud GPUs or edge devices
- Comfortable with data: building datasets, labelling workflows, augmentation and evaluation
- Experience with vision-language models or LLM APIs is a big plus
- Adaptable. You pick up new models, papers and tools fast.
- AI tools are already part of how you work
- High ownership. You finish what you start and fix what's broken.
- Graduates of top universities: NUST, LUMS, FAST, GIKI, IBA and others
The basics
These are the bare minimum, not the pitch
- A raise when you pass probation, then a 20% raise every year
- A new MacBook
- Your AI tools, on us
- Health insurance
- All-day food, on the company
- Luxury gym membership
- 24 paid days off
- Travel and rental allowance
- Retirement benefit (EOBI)
Applying takes 2–5 minutes: one question about pay, and a short, casual video on why you fit.
Apply now!