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Applied AI Engineer, Creative Experiences

In short. Applied AI Engineer, Creative Experiences at Pika: a full-time mid-level role, on-site in Palo Alto, CA. The employer does not list a salary. Skills mentioned: Generative AI. Posted Nov 10, 2026, checked on the employer's site 1 hour ago.

SalaryNot listed
LocationPalo Alto, CA
FormatOn-site
TypeFull-time
LevelMid level
PostedNov 10, 2026 · 2 hours ago
Checked on Pika's careers page 1 hour ago · via Ashby0 views
  • Early applicant

Opens Pika's own application page. No sign-up on Sudo Get Job.

Summary

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.

Quoted from Pika's description, not rewritten.

Skills mentioned

About the role

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.

Opens Pika's own application page. No sign-up on Sudo Get Job.

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Questions & answers

Is this job remote?
It is on-site in Palo Alto, CA.
How do I apply to Pika?
Use the Apply button. It opens the application on Pika's own careers site; no account on Sudo Get Job is needed.
What do AI Engineer jobs pay in San Francisco Bay Area, CA?
The median advertised base salary is $240K a year across 416 open listings.