Pika Labs is a leading AI video-generation platform — text-to-video, image-to-video, and creative video editing tools. Series B in 2024. The interview emphasizes generative-video model engineering, the heaviest inference workload of any media type, and the consumer creative-tools product surface.
Process
Recruiter screen → 60-minute coding (Python with ML fluency) → onsite virtual: 2 coding/ML, 1 ML system design, 1 craft deep-dive, 1 behavioral. ML-research candidates get a research deep-dive. Cycle: 3–5 weeks.
What they actually ask
- Design a video generation pipeline with frame coherence
- Design a GPU-tier system for variable-length video inference
- Design a creative editing tool that combines generation with editing
- Coding: medium-hard DSA, often video or pipeline framing
- Behavioral: ownership, taste, fast-moving creative startup
Levels and comp (2026)
- SE: $190K–$260K total (cash + meaningful equity)
- Senior SE: $270K–$370K total
- Staff / ML Research: $385K–$580K+ total
Prep priorities
- Be fluent in Python (research / serving), C++/CUDA helpful for inference
- Understand video diffusion (latent video diffusion, motion modeling)
- Brush up on temporal consistency, attention variants for video, and video codecs (HEVC, VP9, AV1)
Frequently Asked Questions
Is Pika Labs remote-friendly?
Hubs in San Francisco and remote across US. Many roles remote.
How does Pika compare to Runway or Sora-derived products?
Runway is the established creative-tools brand. Sora (OpenAI) is the highest-quality but limited access. Pika is the consumer-friendly alternative with strong product polish. Comp competitive in AI startup tier.
What is the engineering culture?
Small, technically dense, fast-shipping. Strong creative-product orientation; engineers expected to use the product daily.