Applied AI Engineer, Creative Experiences
Pika Labs · Palo Alto HQ
About this role
## Applied AI Engineer — Creative Experiences **About the role** Pika is 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 help drive interest and revenue growth. This is a **goal-driven applied research** role, open to both **full-time hires and interns**. You’ll take ideas from opportunity → experimentation → implementation → delivery, then use feedback and results to decide what to improve next. --- ## 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 rough concept to 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 results and fits the time budget. - **Deliver frequently**: Work in short iteration cycles, define clear experiment scope, and ship strong first versions quickly. Make trade-offs between research depth, output quality, cost, and delivery time. - **Create work ready to share**: Produce compelling demos and creative outputs for social media, launches, and other growth efforts. (Posting/managing social channels is **not required**.) - **Learn from results**: Use audience response, product feedback, and relevant traffic/revenue signals to refine, expand, or stop ideas. - **Make 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 taken from idea → working result. - **Strong prototyping and coding skills**: connect tools, debug pipelines, and make end-to-end experiences work. - **Creative, entrepreneurial mindset** and good judgment about what makes outputs compelling, useful, and worth sharing. - Enjoys the pace of a **hackathon**: testing ideas quickly and getting working results into people’s hands. - **Curiosity across modalities** and ability to learn unfamiliar models/tools quickly. - Ownership and comfort with **tight timelines**: prioritize, simplify, and recognize when shipping + learning matters more than extra polishing. - Clear connection between technical choices and intended **user or business outcome**. --- ## Helpful experience (nice to have) - Experience as a **startup founder** or early-stage startup team member, or actively building/testing startup ideas. - **Hackathon wins** or standout projects showing rapid prototyping, resourcefulness, and end-to-end execution. - **LoRA fine-tuning**, lightweight model adaptation, or other targeted post-training. - Building workflows that combine **image, video, audio, and/or language** models. - 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 rele
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