About Matroid

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 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, industrial IoT, and security.

We’re looking for a Computer Vision Scientist to perform research in a variety of computer vision domains to unlock new Matroid features and capabilities.

You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

What you’ll be doing

  • Perform research in a variety of computer vision domains to unlock new Matroid features and capabilities, such as visual search, object tracking, anomaly detection, or video summarization.
  • Explore new model architectures to expand the set of what’s detectable using Matroid, such as defect detection or assembly verification in manufactured goods.
  • Evaluate ML techniques to make training more efficient and/or robust, such as data augmentation, optimizers and loss functions.
  • Investigate model architectures and techniques for optimization and/or quantization of models for high throughput and/or edge deployment.
  • Build prototypes and conduct experiments that will guide engineering efforts.

How you’ll be doing it

  • You’ll be working with modern deep learning frameworks like Tensorflow and PyTorch.
  • You’ll be part of a world-class, multidisciplinary engineering team, where each member identifies and prioritizes valuable and interesting new features to work on.
  • You will operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management.
  • You will know that almost everything you build affects real-world users, and you will set the quality standards for your work appropriately.
  • You will work collaboratively alongside software and infrastructure experts to deploy new computer solutions empowering Matroid features and capabilities
  • You will learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.

What you bring to the table

  • Masters in Computer Science (AI/ML specialization), Statistics, Mathematics (Probability), or equivalent.
  • Strong foundations in probability, linear algebra, and optimization.
  • Background in statistical modeling and inference.
  • Experience with Deep Learning and CNNs.

Bonus points if…

  • Experience with large-scale industrial applications of statistical modeling and inference.
  • Experience with statistical modeling across a diverse range of data sets and domains.
  • PhD in Computer Science (AI/ML specialization), Statistics, Mathematics (Probability), or equivalent.

What 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.
  • Resources to learn about the cutting edge of software engineering and computer vision.
  • You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

Matroid 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.