Applied Scientist (Computer Vision) at Wyze Labs

Wyze Labs

Applied Scientist (Computer Vision)

Full-Time in Kirkland, WA - Senior

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

members.

Basic Qualifications

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

code

Skills with Java, C++, R, MATLAB, Python, or similar scripting or programming languages

Experience solving business problems through machine learning, data mining and statistical

algorithms

Preferred Qualifications

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

learning

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

tracking

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