Staff Computer Vision Scientist

In addition to pushing the boundaries of existing deep learning technologies, you will be solving complex algorithmic challenges that deep learning cannot. You will be working with a world-class team of engineers to deploy a new wave of AI products that work out-of-the-box across domains without weeks or months of data collection.

Recent Projects:

• Writing a machine learning pipeline from scratch based on a paper released on Arxiv. This project included developing the dataset loader, augmentation functions, deep learning model, and loss functions — the whole nine yards. And that was just a Tuesday. 
• Developing a new probabilistic model to track critical work in manufacturing facilities while ignoring day-to-day variations 
• Constraining the problem space creatively in order to develop a practical solution that can be deployed across facilities with very little fine tuning
• Working on novel labeling methods with the data infrastructure team to reduce labeling costs while improving model outputs
• Implementing new loss functions or model architectures so cool they would make waves at CVPR, when you deign to eventually share them
• Using the temporal and consistent nature of video to reduce false positives in a deep learning model while exploring what’s possible in unsupervised object detection

Minimum Qualifications:

• Have a research and problem solving background given complex problems
• Have built or worked on deep learning training pipelines
• Have worked on robotics and computer vision algorithms (ex: frame transformations, camera calibration, optical flow, etc.)
• Have the ability to quickly hit the ground running and build training pipelines
• Be passionate about AI and is ready to take risks in a fast-paced startup environment

1. Competitive compensation and equity packages

2. Health, vision and dental insurance

3. Flexible vacation schedule