- 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.
Skills Required
- Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Robotics, Data Science, or 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.
- Proficiency in Python.
- Experience with 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.
What We Do
It’s our goal to become the most user-centric smart home technology company. We’re passionate about providing users access to high-quality products at great prices, we relentlessly keep costs low by partnering with the world’s most efficient manufacturers, we cut out “channel fat” by selling directly from our own website, and, unlike our competitors, we don’t seek a high-profit margin over our cost base, passing on all of these savings to our users. As we grow, we will continue to launch high-quality, affordable smart home products that enrich people’s lives and make great technology accessible to everyone!
Why Work With Us
We’re passionate about providing customers access to high-quality products at great prices. We relentlessly keep costs low by partnering with the world’s most efficient manufacturers. We cut out “channel fat” by selling directly from our own website.
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