Sr. Deep Learning Engineer

Company: Matroid Inc.
Location: Palo Alto
Posted on: April 15, 2025

Job Description:

About Matroid
Matroid's computer vision platform empowers our customers to deploy cutting-edge AI to detect user-specified objects and events of interest in their video and images, on the cloud or on-premise, with the click of a button.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.What you'll do

• 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 productionizeHow you'll be doing it
  
  • Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Knowing that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineeringWhat you bring to the table
    • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
    • Passion for computer vision and deep learning; you are excited to adapt the latest VLMs, 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
    • 5+ 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 skillsBonus points if...
      • 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 startupsWhat we offer in return
        • Competitive pay and equity.
        • The chance to constantly work on stimulating intellectual challenges.
        • Gym membership reimbursement.
        • Free lunch, healthy drinks, and snacks every day.
        • Medical, dental, and vision insurance with 100% paid premiums.
        • A flexible schedule that leaves time for all of your other interests.
        • A budget for whatever hardware or software will make you most effective.
        • Regular tech talks to discuss the latest advances in CV, DL and engineeringMatroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
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Keywords: Matroid Inc., San Francisco , Sr. Deep Learning Engineer, Engineering , Palo Alto, California