Matroid, Inc.

Deep Learning Engineer

Matroid, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $170,000 - $300,000 per year

Job Level

Mid-LevelSenior

Tech Stack

IoTRay

About the role

  • 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
  • Operate in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Build with awareness that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborate with other DL engineers, as well as product, infrastructure, and field engineering teams
  • Work onsite at Matroid's downtown Palo Alto office, located near the Stanford campus and Caltrain

Requirements

  • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
  • 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
  • Passion for computer vision and deep learning; willingness to adapt latest VLMs, implement video transformer models, run realtime segmentation on tiny edge devices, or train industry-specific foundation models
  • Onsite work at downtown Palo Alto office (position is onsite)
  • Bonus points if Specialization in CV, artificial intelligence, machine learning, or related fields
  • Bonus points if Significant computer vision & deep learning academic and/or research experience
  • Bonus points if Prior work experience with applied computer vision in real-world use-cases
  • Bonus points if Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
  • Bonus points if Previous work at high-growth technology startups