Founding Computer Vision / Applied ML Scientist
We’re looking for a Founding Computer Vision / Applied ML Scientist to lead model development for an enterprise-grade video security platform in the retail sector. This is a hands-on, early-stage role with ownership over vision capabilities, from research and training through to shaping the product roadmap.
What you’ll do
- Design, train, and evaluate computer vision models for large-scale video security systems.
- Build and optimize object detection models (e.g. YOLO) for real-world retail environments.
- Own the end-to-end ML lifecycle using PyTorch and/or TensorFlow.
- Establish early MLOps practices (MLflow, Weights & Biases, etc.).
- Translate model performance and limitations into clear insights for senior leadership, helping define what’s technically possible now vs later.
What we’re looking for
- Senior-level experience as an applied scientist or ML engineer with deep computer vision expertise.
- Proven track record building and training production-grade CV models.
- Strong understanding of modern CV architectures and object detection.
- Ability to operate independently in a founding / zero-to-one environment.
- Comfortable influencing product and strategy through technical expertise.
