AI Engineering Intern

• 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

• 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

• 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)

Compensation