Pika Labs currently has 3 active AI-related roles in our index. The most common open titles are: Multimodal LLM Researcher (MLLM), Real-time Video Researcher, Senior Software Engineer, Backend/Infra. Most positions are in Research and Engineering.
Pika Labs's active AI hiring is concentrated in: post-training (67%), agents (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Pika Labs is hiring AI talent in: United States (3 roles).
Job postings at Pika Labs most frequently reference: agent orchestration, multimodal, model serving, frontier research, fine tuning.
In the past 30 days, Pika Labs has posted 1 new AI-related role.
Currently tracking 5 active AI roles, up 200% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $175k–$250k (avg $213k).
Pika Labs currently has 5 active AI-related job listings. The majority of these roles, 60%, are focused on agents, with the remaining 40% in post-training. Hiring is concentrated in the United States. The company is actively seeking candidates with expertise in agent orchestration, multimodal AI, and audio/speech technologies. Over the last 30 days, Pika Labs has added 3 new AI roles, representing a 50% increase compared to the previous 30-day period.
AI Frontier · Video generation
| Title | Stage | AI score |
|---|---|---|
| Multimodal LLM Researcher (MLLM) Research role focused on real-time multimodal generative AI (text, image, video, audio) and agentic platforms, involving novel algorithm design, diffusion model work, training/finetuning, dataset curation, and publishing research. | Post-trainAgent | 9 |
| Real-time Video Researcher Research role focused on real-time video generation and agentic platforms, involving diffusion and autoregressive models, with a strong emphasis on research publications and real-time synthesis. | Post-trainAgent | 9 |
| Senior Software Engineer, Backend/Infra Senior Backend & Infra Engineer to build and scale the core infrastructure for Pika's AI products, focusing on autonomous AI agents, their runtimes, orchestration, and integration with LLMs and multi-modal capabilities. The role involves architecting distributed systems, optimizing agent execution, designing real-time architecture, and building memory/retrieval systems. | AgentServe | 8 |