We’re representing a venture-backed startup building computer vision and machine learning systems to understand complex real-world environments from large-scale video data.
They’re looking for Applied ML/CV Researchers with strong experience in computer vision, video understanding, and modern deep learning systems.
- Experience training or fine-tuning deep learning models for computer vision or video understanding
- Strong Python skills with frameworks such as PyTorch or TensorFlow
- Experience working with large-scale datasets and building model training pipelines
- Background in areas like activity recognition, video analytics, perception systems, or multimodal models
- Familiarity with self-supervised learning, weak supervision, or large-scale data labeling workflows
Bonus: Experience working on real-time or edge ML systems, robotics/autonomous perception, or large-scale video datasets.