Currently pursuing a Bachelor’s degree in design (e.g. interaction, graphic, visual communications, product, industrial), HCI, IS, CS, or related Degree
Good understanding of e-Commerce and Business Design
Proficient in at least two mainstream design and collaboration tools (e.g. Sketch, Adobe Illustrator, Adobe Experience Design, Adobe Photoshop, inVisionApp, Flinto, Figma, etc)
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Work closely with data science and engineering teams to deliver data products and technical solutions, including but not limited to data tracking systems (front-end and back-end tracking).
Pursuing a bachelor's degree in a Business, Finance, Economics, Data Science, Computer Science, Statistics or other quantitative fields.
Strong analytical, problem solving and logical thinking skills.
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Students currently pursuing Bachelor's degree in computer science, computer engineering, information technology, information systems, cybersecurity or related disciplines.
Strong interest / experience in the following technology categories:
Collaborate with data scientists and developers on: Prompt design and orchestration, model evaluation & guardrails, balance tradeoffs between cost, latency, quality, and scalability
Define evaluation frameworks (offline + online metrics) for LLM performance, measure and track success metrics for each feature
Manage feature iteration cycles using experimentation and user feedback
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You will work with the founder and engineering team on real AI automation and software engineering tasks. The internship is designed to give you practical experience turning real problems into useful AI-assisted workflows, software features and automations.
You do not need extensive professional experience. We are looking for someone who is curious, willing to learn, able to think through problems independently, and has some practical experience writing code.
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Work with cross-functional teams (such as security, IT, infra, etc) to identify and solve other issuesContinuously learn and keep up-to-date with the latest front-end technologies and best practices.
Continuously learn and keep up-to-date with the latest front-end technologies and best practices.
Participate in the development and maintenance of frontend products using diverse technologies.
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Act as a full stack "seed learner" within the team — absorb full stack practices, contribute ideas, and grow into an autonomously delivering full stack engineer
Observe cross-team collaboration processes and proactively suggest improvements to product, design, and engineering workflows
Contribute to the product lifecycle — from design to deployment and iteration
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