Deep Learning Field Engineer

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery, including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base across manufacturing, automotive, logistics, aerospace, data center infrastructure, and security.

We’re looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.

You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

• →Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.
• →Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).
• →Integrate Matroid into inspection workflows and third party systems, such as manufacturing execution systems, safety alert systems and video management systems.
• →Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.
• →Act as the technical expert, advising on all matters from technical scoping of engagements to model training, deployment and integration.
• →Empower customers with CV by designing and leading product training sessions.

• You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.
• You will be a product expert - selecting the best features to solve the task at hand.
• You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer centric development.
• You will be an AI orchestrator – integrating deep learning solutions with customers’ internal systems, actively driving decisions and delivering real-world impact.
• You will operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management.
• You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.

• Bachelor’s degree in computer science, computer engineering, electrical engineering, or another technical field.
• Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
• Strong software engineering skills.
• Solid oral, written, presentation, collaboration, and interpersonal communication skills.
• Adept at communicating to both technical and commercial audiences.

• Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
• Previous work experience in field engineering, professional services, consulting, or another customer-facing field.
• Experience with high growth technology startups.