WHO IS WYZE?

Wyze is a high growth, Series B, consumer technology company. Our vision is to make great technology accessible to everyone through our smart home platform. Our aim is to serve everyday people, like me, you, and our friends and families, with too good to be true products and services. We want employees who will be inspired by this and welcome all who will help us build the next amazing chapter at Wyze.
Wyze is home to some of the most innovative products and services in the market. Forbes named us in their America’s Best Startup Employers 2023 list, Time Magazine selected us for their 100 Most Influential Companies of 2022, Fast Company named us as one of the Most Innovative Companies in 2021and PCMag gave our Cam v3 an Editor’s Choice Award. We disrupted the market with our Wyze Cam v1 and then quickly took over as a market leader in the space. We recently disrupted it again with our revolutionary Cam Plus Pro service. GeekWire calls us a start-up to watch and one of the Pacific Northwest’s next unicorns… and we are just getting started.
Our people centric innovative vision is not only present in our products and services, but it is also embedded in the fabric of our company. We were just listed in the Top 100 Best Places to Work by Built in Seattle, listed as one of their Best Midsize Companies to Work For and awarded as one of their Companies with the Best Benefits. Seattle Business Magazine certified us as a Best Places to Work too!
We value the unique life experiences every employee brings to work every day. We are committed to creating an inclusive environment whereby our employees are encouraged to be their authentic whole selves and are rewarded for their impact across the company. Everyone is welcome and empowered to do the best work of their lives.
*This opportunity is working hybrid, based in the Greater Seattle Metropolitan area.
Come join us and make the impossible, possible!

OVERVIEW:

We are seeking an experienced Applied Scientist with a passion for Computer Vision, Deep Learning and On-Device AI Optimization to join our growing team. In this role, you will be responsible for developing, optimizing, and deploying software solutions that leverage AI at the edge to enhance the performance and capabilities of Wyze’s smart home devices. You will collaborate with cross-functional teams to build intelligent systems that process data locally, ensuring real-time insights while optimizing cloud communication.

PREFERRED QUALIFICATIONS:

• Experience with AI inference engines and hardware accelerators (e.g., GPUs, NPUs, Edge AI chips).
• Exposure to DevOps practices for edge devices, including continuous integration and automated testing.
• Experience working with Wyze’s product ecosystem or similar smart home devices.

Qualifications:

• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 3+ years of experience in developing and deploying computer vision and deep learning models, with a focus on edge devices and IoT.
• Strong experience with C/C++, Python programming for model development and training.
• Hands-on experience with model compression techniques such as quantization, pruning, knowledge distillation
• Experience with machine learning/AI integration into edge devices, including familiarity with tools like TensorFlow Lite is a plus.
• Strong problem-solving skills and the ability to troubleshoot complex issues in software, firmware, and AI models

• Computer Vision Algorithm Development: Design and implement cutting-edge computer vision models for real-time applications on Wyze smart home devices.
• Model Training & Optimization: Train deep learning models for various AI applications while applying techniques such as quantization, pruning, and knowledge distillation to optimize models for edge deployment.
• Edge AI Deployment: Work closely with software engineers to ensure seamless deployment of AI models on Wyze’s edge devices (smart cameras, sensors, home automation devices, etc.) with a focus on AI-powered capabilities.
• Optimization & Performance: Continuously improve AI model performance, focusing on memory, processing power, and latency for AI-driven features.
• Collaborate Cross-Functionally: Work with hardware, cloud, and AI teams to ensure smooth integration of edge solutions with Wyze’s overall ecosystem.
• Testing & Validation: Conduct thorough testing of AI models in real-world scenarios to ensure reliability, robustness, and adaptability to diverse environments.

Qualifications:

• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 3+ years of experience in developing and deploying computer vision and deep learning models, with a focus on edge devices and IoT.
• Strong experience with C/C++, Python programming for model development and training.
• Hands-on experience with model compression techniques such as quantization, pruning, knowledge distillation
• Experience with machine learning/AI integration into edge devices, including familiarity with tools like TensorFlow Lite is a plus.
• Strong problem-solving skills and the ability to troubleshoot complex issues in software, firmware, and AI models.