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An AI creative platform for making video, images, and audio.

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About Pika

The company, in brief.

What they do

Pika makes AI creative tools for video, images, and audio. Its Video Studio makes clips of up to 30 seconds. Other apps grade color, extend a clip, edit images, and score a clip with music. Pika offers its own models, such as Pika 2.5, beside models from other companies. Pika says it has 2 million active users.

What they value

  • Work fast and well together: the team values efficiency, collaboration, and creativity.
  • Hire for intellect, work ethic, and ambition.
  • Grow as a person and as a team.
  • Keep an inclusive culture that welcomes fresh ideas.
  • Share ideas and launch products together, in the office when possible.

Where they hire

All 16 Postings are in the United States. Eleven say US remote. Five are on site at the Palo Alto headquarters. Six remote Postings say that Pika prefers hybrid work in the office. No Posting mentions visa sponsorship. The careers page says that Pika uses E-Verify after a job offer.

Teams and roles

  • Engineering: six roles, from a growth engineer and a data engineer to a principal engineer and a head of product engineering.
  • Research: four roles, including post-training for video generation, model inference, data, and a research intern.
  • Product: a product manager and a head of growth.
  • Single roles in product design, creator partnerships, go-to-market, and finance.

The research roles work on Pika's video generation models. The inference role makes those models run faster on GPUs.

What they look for

Fifteen Postings name a minimum number of years, from 2+ to 10+. Most engineering roles ask for 4+ or 5+ years. Thirteen Postings ask for strong communication. Eight Postings name Python. The backend stack is Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, and AWS or GCP. Two research roles ask for PyTorch, and the post-training role asks for diffusion models. Eleven Postings ask for a passion for creative tools or generative AI. Four ask for startup experience.

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