XNOR.AI (early stage startup) | Seattle, WA | ONSITE | C++ Engineer, Machine
Learning Engineer, Computer Vision Engineer | VISA | https://xnor.ai/
XNOR.AI is a group of experienced innovators working to make AI dramatically
more efficient and put it into every device. We are a team of experts in deep
learning, machine vision, and software engineering.
We're located in Seattle, WA by Gas Works Park (10 minutes away from the University of Washington). We're
a small team seeking to double our size. We spun-off as a separate entity from
the Allen Institute for Artificial Intelligence in February 2017 raising a 2.6M
seed.
We're hiring for three engineering positions: C++, Machine Learning, and
Computer Vision at all levels (e.g., junior, senior, principal). In general,
our C++ engineers work on the systems & architecture side, and our ML/Vision
engineers develop new techniques and algorithms. Both teams work directly with
our customers to develop end-to-end solutions from data acquisition, scrubbing,
training, and deployment. Our C++ engineers work closely with our ML/Vision
engineers to build a bespoke deep learning platform uniquely suited for edge
devices.
We work on a gamut of platforms from x86 server platforms, GPUs, FPGAs, all the
way to ARM-based platforms like the Raspberry Pi.
Send an e-mail to carlo@xnor.ai with a resume and a quick paragraph.
XNOR.AI is a group of experienced innovators working to make AI dramatically more efficient and put it into every device. We are a team of experts in deep learning, machine vision, and software engineering.
We're located in Seattle, WA by Gas Works Park (10 minutes away from the University of Washington). We're a small team seeking to double our size. We spun-off as a separate entity from the Allen Institute for Artificial Intelligence in February 2017 raising a 2.6M seed.
We're hiring for three engineering positions: C++, Machine Learning, and Computer Vision at all levels (e.g., junior, senior, principal). In general, our C++ engineers work on the systems & architecture side, and our ML/Vision engineers develop new techniques and algorithms. Both teams work directly with our customers to develop end-to-end solutions from data acquisition, scrubbing, training, and deployment. Our C++ engineers work closely with our ML/Vision engineers to build a bespoke deep learning platform uniquely suited for edge devices.
We work on a gamut of platforms from x86 server platforms, GPUs, FPGAs, all the way to ARM-based platforms like the Raspberry Pi.
Send an e-mail to carlo@xnor.ai with a resume and a quick paragraph.