AI Scientist Internship

• Conduct research in areas such as agentic AI systems, computer vision, reinforcement learning, and multimodal understanding to advance autonomous decision-making in smart home devices. 
• Develop and optimize models that enhance user experiences through perception, reasoning, and proactive adaptation—embodying Wyze’s “Never Wonder” philosophy. 
• Prototype novel AI architectures that enable smarter, context-aware devices capable of independent task execution and collaboration with other agents. 
• Work with large-scale, real-world datasets from sensors, vision, and voice to enable scalable, robust, and explainable AI performance. 
• Collaborate across disciplines—AI science, software engineering, embedded systems, and product design—to translate research breakthroughs into production-ready capabilities. 
• Contribute to internal papers, documentation, or publications that reflect Wyze’s leadership in practical agentic AI research. 
• Stay ahead of industry trends and emerging technologies to help shape Wyze’s long-term AI roadmap and platform evolution. 

• Currently pursuing a Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field. 
• Proven understanding of machine learning, deep learning, reinforcement learning, and model optimization techniques. 
• Research or project experience in agentic AI, autonomous systems, multimodal AI, or human–AI interaction strongly preferred. 
• Proficiency in Python and standard ML frameworks such as PyTorch, TensorFlow, or JAX. 
• Strong analytical and experimental skills with tools such as NumPy, Pandas, and scikit-learn. 
• Familiarity with production-level ML practices, including model evaluation, data pipeline optimization, and on-device inference. 
• Excellent communication and collaboration abilities, with a passion for research that delivers user-first, real-world impact. 
• Enthusiasm for Wyze’s mission to democratize smart living through practical, forward-looking AI innovation. 

Compensation