Pika
Research Scientist, Foundation Model
Palo Alto HQ
Sponsorship not specifiedDetected 67 days ago
PythonAlgorithmsTensorFlowPyTorchLLMsResearchCommunicationCollaboration
About the role
- At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms.
Responsibilities
- Lead research and development on pre-training and mid-training of multimodal foundation models at scale.
- Design and prototype novel algorithms and architectures for high-fidelity, real-time multimodal synthesis and interaction across modalities.
- Identify, create, and leverage large, high-quality cross-modal datasets.
- 5+ years of research experience in large-scale pre-training/mid-training of multimodal foundation models (LLMs, VLMs, Audio LMs, or similar), ideally at the staff or lead scientist level.
- Pika empowers creators by building state-of-the-art agentic and multimedia platforms.
- If you are a leading researcher excited to build and scale real-time multimodal foundation models, we want to hear from you.
Requirements
- Track record as a first author on major publications in top conferences or journals (e.g., NeurIPS, ICML, ICLR).
- Extensive hands-on experience with large-scale multimodal model design, training, and deployment.
- Deep understanding and implementation experience with generative architectures (diffusion, autoregressive, cross-modal, etc.).
- Expertise in high-throughput, scalable dataset curation and model pipeline optimization for multimodal applications.
- Strong programming and prototyping skills (Python, PyTorch, TensorFlow, etc.) and experience deploying research into production systems.
Compensation
- Competitive salary and substantial equity in a high-growth startup
Benefits
- Competitive salary and substantial equity in a high-growth startup
- Full health benefits + 401k matching and more
- Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all.
- Flexible on-site/remote hybrid (HQ in Palo Alto, CA)
Company info
- What We're Looking For
This listing is sourced directly from Pika's careers page and normalized into a canonical job model.