Research Scientist, Data

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

Strong programming skills (Python, SQL, PySpark, or similar) and familiarity with cloud data platforms (AWS, GCP, Azure)

Knowledge of privacy, compliance, ethics, and best practices in data collection and management

Excellent cross-functional collaboration, problem-solving, and communication skills

Passion for enabling cutting-edge generative AI and creative technology through data excellence

Pika empowers creators by building state-of-the-art agentic and multimedia platforms. Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all. Join us and help shape the next evolution of creative technology!

If you are a data-driven research engineer excited to lead and scale the data infrastructure powering real-time multimodal foundation models, we want to hear from you.