Who we are:
Wyze is a tech startup based in Kirkland, WA. We’re a team of innovators and tech geeks
obsessed with making smart home products accessible to everyone.
Our products are intuitive and easy to use, and we partner with our customers to add new
features and continuously improve our products over time. We believe customers shouldn’t
have to compromise – beautifully designed smart home products should enrich people’s lives
and be something everyone can afford.
Since launching our first smart home camera, Wyze Cam, in October 2017, Wyze has continued
to bring new, innovative products to our users. You can learn more about Wyze and our various
products at wyze.com .
What the Opportunity is:
We are looking for experienced researchers as founding members of the scientist team to
convert requirements into concrete deliverables using knowledge of computer vision, image
recognition, machine learning, embedded or distributed systems. An Applied Scientist at Wyze
will translate business and functional requirements into quick prototypes or proofs of concept.
Be comfortable with a high degree of ambiguity and ability to solve problems that haven’t been
solved to scale before are essential. As founding member, you will also contribute to build the
culture of the scientist team and establish the research fundamental for the coming team
Completion of Master’s or Ph.D. degree in Engineering, Computer Science, Machine Learning,
Math, Statistics or related fields with specialization in Computer Vision, Image recognition,
robotics, machine learning, or deep learning
Theory and practice of designing experiments and statistical analysis of results
Experience in machine learning, algorithms and computational complexity
Experience implementing algorithms in computer vision using both toolkits and self-developed
Skills with Java, C++, R, MATLAB, Python, or similar scripting or programming languages
Experience solving business problems through machine learning, data mining and statistical
Ph.D in Engineering, Computer Science, Machine Learning, Math, Statistics or related fields
with specialization in Computer Vision, Image recognition, robotics, machine learning, or deep
Familiar with the core undergraduate curriculum of Computer Science
Algorithm development experience and understanding of computer vision algorithms
Technical fluency; comfortable understanding and discussing architectural concepts and
algorithms, schedule tradeoffs and new opportunities with technical team members.
Publications at conferences or journals
Experience with deep-learning technologies or robotics
Critical thinking skills
Comfortable presenting your beliefs clearly and compellingly in both verbal and written form
Specific computer vision skills in object detection, recognition, 3D computer vision, and/or
Experience leveraging and augmenting large code base and computer vision/machine
libraries/toolkits to deliver new solutions
Experience delivering production computer vision systems.
Experience on deep learning model compression
Experience on embedded system and firmware development