Role overview
With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.
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.
What you'll work on
- 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.
What we're looking for
- 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.