Deep Learning 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 has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

• →Advance the computer vision and deep learning technology powering Matroid's computer vision platform
• →Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
• →Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

• Masters in Computer Science, Software Engineering, Mathematics, or equivalent
• Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
• 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
• Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
• Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
• Strong software engineering skills - you care deeply about the quality of your code
• Solid oral, written, presentation, collaboration, and interpersonal communication skills

• Specialization in CV, artificial intelligence, machine learning, or related fields
• Significant computer vision & deep learning academic and/or research experience
• Prior work experience with applied computer vision in real-world use-cases
• Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
• Previous work at high-growth technology startups