Research Scientist, Foundation Model
PikaGenerative AI company
Palo Alto, United StatesLead
Lightspeed Venture Partners
Spark Capital
Greycroft
SV Angel
Homebrew
Conviction
Data & AI
About the role
TL;DR
Develop and implement large-scale multimodal foundation models for real-time generative technology.
- •At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms.
- •We seek Research Scientists in Foundation Models to advance our mission.
- •Key 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.
- •Focus on scalable data pipeline curation and model training strategies for broad, diverse, and sensory-rich datasets.
- •Advance state-of-the-art techniques in diffusion, autoregressive, and other generative models for large-scale pre-training and fine-tuning.
- •Identify, create, and leverage large, high-quality cross-modal datasets.
- •Bring research advancements into production-ready systems in collaboration with engineering and product teams.
- •Publish work in top-tier conferences and journals, and clearly communicate research both internally and externally.
- •Stay at the forefront of foundational model and real-time multimodal AI research.
- •Requirements 5+ years of research experience in large-scale pre-training/mid-training of multimodal foundation models.
- •Track record as a first author on major publications in top conferences or journals.
- •Extensive hands-on experience with large-scale multimodal model design, training, and deployment.
- •Deep understanding and implementation experience with generative architectures.
- •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.
- •Excellent communication and collaboration skills, and a passion for building creative enabling technology.
Required skills
PythonPyTorchTensorFlowNLPLLMs
Domain expertise
ai
Benefits & perks
Competitive salary, Equity, Health benefits, 401k matching
Tech stack
PythonPyTorchTensorFlow