Use Matroid's computer vision to identify actions, objects, defects and events. Perfect for security, manufacturing, compliance, and more. Get a demo today! Backed by NEA.
About the role
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.
What they're looking for
- Bachelor’s degree in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, or another technical field
- Strong Python coding skills, with the ability to build reliable systems that interact with various models, APIs, databases, customer infrastructure, and production workflows
- Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch, TensorFlow, JAX, Hugging Face, Numpy, OpenCV, or similar technologies
- Strong ability to evaluate AI systems rigorously, including designing benchmarks, analyzing failure modes, and improving model performance through data, prompts, architecture, or workflow design
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
- Adept at communicating with both technical and commercial audiences
More about this role
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 Vision Language Model (VLM) & Visual Foundation Model (VFM) Forward Deployed Engineer to operate at the forefront of visual and multi-modal intelligence deployment in industry, building best-in-class AI systems that leverage vision-centric and vision-language models to solve a broad range of challenging real-world use cases, such as defect inspection, anomaly detection, assembly verification, process and safety monitoring, multi-modal understanding, retrieval, and reasoning over large collections of images, videos, operational data.
You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station and a nine-minute walk from Stanford University.
- Train and deploy state-of-the-art vision-centric...
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