AI Scientist Internship

Posted Yesterday
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Kirkland, WA, USA
Hybrid
40-45 Hourly
Internship
Computer Vision • eCommerce • Healthtech • Internet of Things • Security
Making great technology accessible!
The Role
Conduct research on agentic AI, multimodal learning, computer vision, and reinforcement learning. Develop and optimize models for perception, reasoning, and on-device inference using large real-world sensor, vision, and voice datasets. Prototype architectures, collaborate with engineering and product teams, and contribute to publications and production-ready AI features.
Summary Generated by Built In
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 Opportunity
At Wyze, we’re redefining what smart really means. Guided by our vision to Never Wonder and Build for the Future, we’re applying Agentic AI to create intelligent products that anticipate needs, adapt in real time, and elevate everyday living. As an AI Scientist Intern, you’ll be part of our next chapter—exploring cutting-edge research in autonomous intelligence, multimodal learning, and real-world AI deployment. You’ll collaborate with our AI researchers, engineers, and product teams to transform innovative ideas into tangible features trusted by millions of users.

What You’ll Do 
  • 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. 

What You’ll Bring
  • 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
The base pay range for this role is $40 – $45 per hour.

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.
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The Company
Kirkland, WA
350 Employees
Year Founded: 2017

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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