INTERNSHIP DETAILS

AI Engineering Internship

Companywyzecam.com
LocationKirkland
Work ModeRemote
PostedMay 27, 2026
Internship Information
Core Responsibilities
Design, build, and optimize machine learning systems for computer vision and generative AI features for Wyze products. Develop LLM-powered workflows and scalable ML pipelines while implementing evaluation harnesses to measure model quality.
Internship Type
intern
Company Size
249
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The founding members of Wyze met when they were working at Amazon and they brought the core Amazon principles to us - it’s our goal to become the most customer-centric technology company. We’re passionate about providing customers high-quality products at great prices. Our first product, Wyze Cam, is the solution to a problem that one of our co-founders faced. He had been looking for a smart home camera to stay connected and protect his family with while on the road. He found that better-recognized brands were overpriced for their quality and cheaper ones were unreliable. We believe consumers deserve better than that and this led to the birth of Wyze Cam. But this is just the beginning. As we grow, we will continue to launch high quality, affordable tech products that enrich people’s lives and make great technology accessible to everyone. Our cameras, smart devices, and Wyze app are meticulously designed with multiple layers of security to help give you peace of mind. Your safety is our priority. For more information, visit www.wyze.com.
About the Role
The Opportunity
We're looking for AI Engineer Interns to work alongside our AI team designing, building, and optimizing the machine learning systems that power Wyze products. You'll get end-to-end exposure across the AI lifecycle, from data and model development through deployment and evaluation, and ship work that reaches real users. This is a hands-on role for someone who wants to build, not just prototype. 

What You’ll Do 
  • Build and help deploy machine learning systems for computer vision and generative AI features, with attention to the efficiency and on-device constraints that define Wyze products. 
  • Develop and experiment with LLM-powered and agentic workflows, including prompting, tool/API orchestration, and retrieval-based approaches. 
  • Design and implement scalable, efficient ML pipelines for training, inference, and serving. 
  • Build evaluation harnesses and feedback loops to measure model quality, catch regressions, and quantify the impact of changes. 
  • Test, validate, and debug models across real-world use cases. 
  • Document your work clearly so experiments are reproducible and decisions are easy to follow. 
  • Track advancements in ML and AI and bring recommendations back to the team. 

What You’ll Bring
  • Currently pursuing a Master's or Ph.D. in Computer Science, Data Science, Engineering, AI, or a related field. 
  • Strong programming fundamentals (Python preferred) and fluency using AI coding agents to work effectively and ship faster. 
  • Working understanding of machine learning concepts, model evaluation, and how to reason about model behavior. 
  • Familiarity with a modern deep learning framework (such as PyTorch) and an interest in LLM application development. 
  • Strong problem-solving skills and genuine curiosity to dig into hard, ambiguous problems. 
  • Ability to work both independently and collaboratively in a fast-paced environment. 
  • Passion for smart home technology and a real interest in shipping practical AI. 

Nice to Have 
  • Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and scaling. 
  • Exposure to computer vision, edge/on-device ML, or model optimization (quantization, distillation). 
  • Hands-on experience building or evaluating LLM agents or multi-step AI workflows. 

Key Skills
PythonPyTorchMachine LearningComputer VisionGenerative AILLM Application DevelopmentML PipelinesModel EvaluationPromptingAPI OrchestrationRetrieval-Based ApproachesModel OptimizationCloud PlatformsOn-device MLData ScienceProblem Solving
Categories
TechnologySoftwareEngineeringData & AnalyticsScience & Research