We're working with a seed-round startup who is applying their computer vision platform to the manufacturing industry. This is a great opportunity to apply your ML skills to develop and implement CV applications to handle a variety of manufacturing tasks. We're looking for Computer Vision Engineers that have excellent image segmentation and object detection experience.

Ideally, they'd like someone with prior modeling experience working with PyTorch, TensorFlow, Keras, or Scikit-Learn.

This is a hybrid-remote position in Cambridge, MA. $120k-$140k base + equity ($150k-$170k TC).

Requirements:

• 3+ years of experience as a ML Engineer
• Proficiency in unsupervised, and semi-supervised learning techniques
• Experience with U-NET Architecture
• Experience with Object Detection models like YOLO, R-CNN or SSD

Cherry on top:

• Proficiency with autoencoders
• Proven research or practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
• Automotive or manufacturing industry experience

Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.