AI Engineering Intern in Kirkland, Washington at wyzecam.com

At Wyze, we make smart home technology accessible to everyone. We're known for disrupting markets with high-quality, affordable products - from cameras to lighting to sensors and more. We believe technology should simplify life, not complicate it. We’re a fast-moving, customer-obsessed team driven by curiosity and powered by data.
The OpportunityWe're hiring an AI Engineering Intern 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
• Hands-on experience building or evaluating LLM agents or multi-step AI workflows
• 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)

CompensationThe base pay range for this role is $30 – $40 per hour.