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 by a Stanford professor in 2015, Matroid has raised $13.5 million in funding, and the product has been used in a variety of security and media applications.
Embedded System Engineer Silicon Valley, CA, United States
Full Stack Engineer for Machine Learning Products Silicon Valley, CA, United States
Machine Learning Infrastructure Engineer Silicon Valley, CA, United States
We have a world class team of machine learning, systems, and web development experts.
There is a large, untapped potential non-developer user base for a custom computer vision model platform.
You'll have a chance to learn about cutting edge computer vision and machine learning techniques.
Engineers at Matroid have full ownership of the features they work on, from design to implementation to support. Through conversations with the rest of the Matroid team and customers, you'll determine the specs for a feature and then build it. We operate on a weekly schedule, setting goals on Monday and demoing progress Friday. Major releases happen every 1-2 months, and smaller changes get pushed out every couple of weeks.
As a small team, you have a large say in what makes our feature roadmap and what you work on.
Performance is a major concern at Matroid. Our users expect low latency: we need to ingest streaming video, process it with our models, and display the results to the users in a way that feels dynamic and snappy.
We also run into a host of design issues: we're forging a first of its kind machine learning product for non-technical users. When developing features we constantly think about making computer vision accessible to people who don't understand the underlying technologies and make decisions about the trade-offs between ease-of-use and flexibility.
Build an interface for visually searching through terabytes of user data in seconds.
Create a streaming video player that can display classification bounding boxes while playing video.
Build an interface for multiple users to annotate a training image dataset.
The Matroid engineering culture emphasizes autonomy and rigorous quality. Matroid engineers have ownership of product areas, and are empowered to prioritize, design, and implement features in those areas. Engineers also have latitude in choosing the technologies best suited to meeting our product goals. We also encourage curiosity and learning about new technologies and parts of the stack you haven't worked on before.
Outside of work, we have frequent team outings, cookouts, and retreats, as well as weekly board games.
Matroid has generous and flexible vacation policy
We get lunch delivered from a local restaurant everyday, and have a whole lot of snacks.
Matroid gives all employees access to Stanford athletic facilities, and a $100 per month gym stipend.
Company retreats in the past have included a ski trip to Tahoe cabin / mansion.
Engineers are encouraged to attend conferences and other important industry events. We also host a premier machine learning conference every year. Check out scaledml.org
Engineers can choose the hours they work in the office. 10am - 6pm is typical.
We provide full medical, dental, and vision coverage for you and your family.
We play board games weekly and have frequent team outings.
We can help with relocation expenses.
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