Applied AI Engineer Intern - Creative Experiences

Pika; Palo Alto (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Pika is seeking a hands-on AI researcher to turn the latest models and tools into engaging experiences. You will merge image, video, audio, and language models to create workflows, demos, and features that attract users and drive growth.

In this goal-driven role, you’ll take ideas from initial opportunities through experimentation and delivery, then apply feedback to refine what to build next. Strong judgment, creativity, and fast execution are essential.

Qualifications

• Hands-on experience with generative AI models and APIs.
• Strong prototyping and coding skills to build end-to-end demos.
• Creative, entrepreneurial mindset with rapid iteration and delivery.
• Curiosity across modalities and ability to learn new tools quickly.

Responsibilities

• Identify opportunities aligned to audience, use case, and revenue.
• Build end-to-end multimodal workflows from concept to demo.
• Iterate quickly with experiments, balancing quality, cost, and time.
• Create shareable demos and assets for launches.
• Document workflows for reuse by the team.

Skills

Generative AI

Prototyping

End-to-end pipelines

Multimodal workflows

Tools

APIs

LoRA fine-tuning

Job description

Open to full-time hires and interns.

About the role

At Pika, we're looking for a creative, hands-on AI researcher who can turn the latest models, APIs, and emerging ideas into compelling experiences people want to try and share. You'll combine models across image, video, audio, and language to build workflows, demos, and features that bring people to Pika and contribute to revenue growth.

This is a goal-driven applied research role, open to both full-time hires and interns. You'll take ideas from an initial opportunity through experimentation, implementation, and delivery, then use feedback and results to decide what to improve next. Strong creative judgment, resourcefulness, and fast execution are central to the role.

What you'll do

• Find promising opportunities. Stay close to new models, tools, creative formats, and cultural trends. Identify ideas with a clear audience, use case, and potential to drive interest, website traffic, or revenue.
• Build end to end. Combine existing models, APIs, and tools into working multimodal workflows. Own the path from a rough concept to a usable demo, creative asset, or product experience.
• Choose the right amount of research. Test practical approaches quickly. Use lightweight LoRA fine-tuning or targeted post-training when it meaningfully improves the result and fits the project's time budget.
• Deliver frequently. Work in short iteration cycles, set a clear scope for each experiment, and get strong first versions out quickly. Make thoughtful trade-offs between additional research, output quality, cost, and time to delivery.
• Create work ready to share. Produce compelling demos and creative outputs that the team can use for social media, launches, and other growth efforts. Personally posting on or managing social channels is not required.
• Learn from results. Use audience response, product feedback, and relevant traffic or revenue signals to decide which ideas to refine, expand, or stop.
• Make successful work reusable. Leave working workflows, examples, and concise documentation so the team can reproduce and build on what you deliver.

What we're looking for

• Hands-on experience building with generative AI models, APIs, or creative workflows, with examples of work you have taken from idea to a working result.
• Strong prototyping and coding skills: you can connect tools, debug a pipeline, and make an end-to-end experience work.
• A creative, entrepreneurial mindset and good judgment about what makes an output compelling, useful, and worth sharing. You enjoy the pace and resourcefulness of a hackathon: testing ideas quickly and getting a working result into people's hands.
• Curiosity across modalities and the ability to learn unfamiliar models and tools quickly.
• Ownership and comfort with tight timelines: you can prioritize, simplify an approach, and recognize when shipping and learning is more valuable than further polishing.
• A clear connection between technical choices and the intended user or business outcome.

Helpful experience

• Experience as a startup founder or early-stage startup team member, or actively building and testing startup ideas.
• Hackathon wins or standout hackathon projects that demonstrate rapid prototyping, resourcefulness, and end-to-end execution.
• LoRA fine-tuning, lightweight model adaptation, or other targeted post-training.
• Combining image, video, audio, or language models in a single workflow.
• Building creative demos, interactive prototypes, or AI experiences that reached real users.

What success looks like

You deliver a steady stream of compelling, usable experiments; turn the strongest ideas into repeatable workflows; and use each release to learn what attracts users and contributes to Pika's growth. Success depends on the quality, speed, and impact of what you deliver.