Pika
Research Scientist, Data
Palo Alto HQ
Sponsorship not specifiedDetected 21 days ago
PythonSQLAWSGCPAzureMachine LearningSparkData EngineeringLLMsResearchCommunicationCollaborationProblem Solving
About the role
- At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms.
- If you are passionate about powerful data infrastructure and innovative research-engineering, join us to make an impact for millions of creators.
Responsibilities
- 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
- Optimize data processing, transformation, and delivery for large-scale distributed training pipelines
- 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
- Pika empowers creators by building state-of-the-art agentic and multimedia platforms.
- 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.
Requirements
- Expertise in distributed data systems (e.g., Spark, Hadoop, Ray, or similar) and efficient large dataset processing/ETL workflows
- Knowledge of privacy, compliance, ethics, and best practices in data collection and management
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.
- 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
- Flexible on-site/remote hybrid (HQ in Palo Alto, CA)
Company info
- We are looking for a staff or lead-level Research Engineer, Data to architect and scale data engineering systems supporting model training for our advanced multimodal foundation models.
This listing is sourced directly from Pika's careers page and normalized into a canonical job model.