Wyze sells low-cost smart home cameras and connected devices, and its stack reads more like an AI lab than a hardware brand: PyTorch, TensorFlow and JAX sit alongside an in-house vision-language model project for home video understanding. Hiring is accelerating and skews senior across engineering, marketing and product, while pain points cluster around unit economics, opex control and supply constraints, typical of margin pressure in consumer hardware.
Wyze is a privately held consumer electronics company founded in 2017 and headquartered in Kirkland, WA. It designs smart home cameras, sensors and other connected devices, controlled through the Wyze app, and sells them to consumers at value price points. The company employs 201–500 people and currently hires in the United States. Its infrastructure spans AWS, GCP, Azure and OCI, with Java, Spring Boot and Go services backed by PostgreSQL, MySQL and DynamoDB, and Snowflake, Tableau and Power BI supporting analytics.
Wyze uses AWS, GCP, Azure and OCI with Terraform and Jenkins, Java, Spring Boot, Go and Python services, PostgreSQL, MySQL and DynamoDB, plus Snowflake, Tableau, Power BI, PyTorch, TensorFlow and JAX.
Yes. Job posts reference in-house vision-language model development for smart home video understanding, plus AI-enabled workflows and rapid proof-of-concepts for AI-assisted research, built on PyTorch, TensorFlow and JAX.
Wyze is headquartered in Kirkland, WA, United States. Founded in 2017, it has 201–500 employees and currently hires in the United States.
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Wyze's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
