Sharkninjaoperatingllc

Applied AI & Analytics Intern Opportunities

Sharkninjaoperatingllc

Miami · Posted Sep 17

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Location: Miami, Florida, United States; Needham, MA, United States Department: 78000 - Executive

About Us

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

AI at SharkNinja

At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next — fast.

This role: SharkByte is SharkNinja’s AI-native early talent program, designed for builders who want to learn by doing, move fast, and see their work in production, not in a slide deck at the end of the summer. As a SharkByte Applied AI & Analytics Intern, you’ll be at the center of SharkNinja’s company-wide AI transformation, working on high-impact, cross-functional business problems that drive measurable impact across the organization.

From day one, interns are embedded into real SharkNinja initiatives with ownership, visibility, and direct collaboration alongside technical and business leaders. You’ll partner closely with teams across the company to use AI and analytics to turn data into insights that inform decision-making and help shape real business outcomes.

This experience sits at the intersection of SharkNinja’s Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving interns exposure to real AI deployments, not sandbox exercises. Participants also gain access to the same AI tools and environments used across the company, including Claude Enterprise and a personal AWS sandbox, allowing them to build, test, and experiment without friction.

The program is built for students with experience in software engineering, AI/ML, full-stack development, automation, or data analytics who are ready to apply their skills in a fast-paced business environment from day one. Interns also participate in Early Edge programming focused on mentorship, networking, and professional development, while gaining exposure to executives, AI founders, and company-wide innovation events.

Top performers have pathways to return offers or future full-time opportunities, and every participant leaves with a SharkByte AI Certification tied directly to the work they shipped and the impact they delivered.

Here are some of the EXCITING things you'll get to do:

Support the scoping and analysis of business questions by gathering and organizing relevant data

Write AI prompts and assist in data cleaning and preparation

Design and iterate on AI prompts to extract actionable insights from business data

Help build dashboards, reports, or simple models used by internal teams through the use of AI tools

Assist in identifying trends, patterns, and insights within datasets through AI

Use AI tools to improve efficiency and support analytical workflows

Contribute to agentic workflow prototypes that automate manual, high-friction business processes

Contribute to materials that communicate findings to stakeholders

Help identify data gaps or inconsistencies and flag opportunities for improvement

Our ideal builders will have the following attributes & skills:

Education: Current student in a related bachelor's or master’s or PhD program or has graduated from such a program within the past year

Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Miami, FL or Needham, MA

Experience with data visualization tools (Tableau, Power BI, Looker, or similar)

Experience actively building with AI tools (LLMs, automation workflows, or agent frameworks), not just using them

Experience working with real-world or messy datasets

Working knowledge of SQL, Python, or similar tools through coursework or projects

Ability to approach problems in a structured and logical way

Interest in consumer products, retail, or e-commerce

Embodies SharkNinja's Success Drivers:

Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing

Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning

Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input

Winning is a Team Sport – Ability to develop strong cross-functional relationships

Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management

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What they are looking for

Ai Ml Full-stack development Automation Data analytics

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