Wyze Tech Stack

Smart home devices and cameras built on ML infrastructure for mass-market accessibility

Computers and Electronics Manufacturing Kirkland, WA 201–500 employees Founded 2017 Privately Held

Wyze manufactures affordable smart home cameras and IoT devices with a heavy ML and data infrastructure underneath—Python, PyTorch, TensorFlow, JAX stack powering perception models and real-time inference at scale. The tech footprint reveals a company pivoting from consumer hardware toward autonomous device behavior: active projects include context-aware adaptation models, scalable ML pipelines for inference serving, and proactive device reasoning. Backend scaling for millions of devices and subscription churn reduction are live pain points, suggesting they're transitioning from hardware-first to a software/services model.

Tech Stack 30 technologies

Core StackPython PyTorch TensorFlow NumPy Pandas scikit-learn Snowflake Tableau Power BI Java Go AWS PostgreSQL MySQL DynamoDB Terraform Klaviyo Jira Confluence JAX macOS Spring Boot GCP Azure Meta Ads Manager X Bash

ReplacingOpsgenie

What Wyze Is Building

◆Challenges

Migrating on-call platform
Secure data resilience
Asset disposal compliance
Under-leveraged channels
Scattered retailer data
In-store execution gaps
Reducing churn
Improving subscription conversion
Enhancing customer lifecycle
Scaling backend for millions of devices

▲Active Projects

Never wonder
Scalable ml pipelines for training, inference, and serving
Develop perception and reasoning models for proactive adaptation
Migration to opsgenie
Endpoint backup rollout
Glean ai integration
Channel health dashboard
Prototype novel ai architectures for context-aware devices
In-store execution improvement
New premium features and packaging

Hiring Activity

Accelerating10 roles · 9 in 30d

Department

Engineering

Product

Data

Finance

Marketing

Ops

Sales

Seniority

Manager

Intern

Mid

Lead

Senior

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About Wyze

Wyze designs and sells WiFi-enabled cameras, smart home sensors, and connected devices aimed at making IoT accessible at consumer price points. Founded in 2017 by former Amazon engineers in Kirkland, WA, the company operates across 201–500 employees and sells primarily in the United States. The product suite spans cameras, smart devices, and a mobile app with integrated security; distribution includes both direct-to-consumer and in-store retail channels. Engineering and product hiring currently outpace other functions, with active work on ML-driven perception, backend scaling, subscription conversion, and channel execution.

HeadquartersKirkland, WA

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Wyze use?

Python, PyTorch, TensorFlow, JAX, NumPy, Pandas for ML; AWS, GCP, Azure for cloud; Snowflake, PostgreSQL, MySQL, DynamoDB for data; Terraform for IaC; Jira, Confluence for collaboration.

What is Wyze working on?

Scalable ML pipelines for training and inference; perception and reasoning models for proactive device adaptation; subscription features and packaging; in-store execution; retail channel health dashboards; Glean AI integration.

Where is Wyze headquartered?

Kirkland, Washington. The company is privately held, founded in 2017, and operates across 201–500 employees in the United States.

How this profile is built

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.