Research Scientist, Data

Job summary

Responsibilities

At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms. We are looking for a staff or lead-level Research Engineer, Data to architect and scale data engineering systems supporting model training for…

• Take ownership of large-scale data pipeline architecture and implementation to support model training and research workflows for text, image, audio, and video datasets
• Partner with research and engineering teams to curate, clean, and manage diverse, sensory-rich datasets for pre-training and mid-training of multimodal models
• Develop strategies and tools for scalable data ingestion, labeling, filtering, augmentation, and storage
• Ensure data quality, reliability, and compliance, including managing privacy and ethical considerations throughout the data lifecycle
• Optimize data processing, transformation, and delivery for large-scale distributed training pipelines

What they're looking for

• 5+ years of experience building and scaling data pipelines for machine learning applications at staff or lead engineer level, ideally in research or model training environments
• Strong background in data engineering and ML data curation for LLMs, VLMs, or other large-scale multimodal models
• Expertise in distributed data systems (e.g., Spark, Hadoop, Ray, or similar) and efficient large dataset processing/ETL workflows
• Proven ability to build robust, scalable, and production-grade data infrastructure for ML pipelines
• Experience developing tools for data labeling, filtering, deduplication, quality assurance, and dataset management

Tech stack

• Spark
• Ray
• Python
• SQL
• AWS
• GCP
• Azure