Research Scientist, Data
At a glance
Mid-level role at Pika. Remote, United States · full-time · $185,000–$400,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Design and implement large data flows that feed research and training across text, images, audio and video
- Coordinate with research and engineering colleagues to clean and curate datasets for multimodal model training
- Build approaches for bringing in, labeling, filtering, augmenting and storing training data at scale
- Maintain dataset quality, reliability and compliance, including privacy and ethical handling
- Improve data transformation and delivery for distributed training, then bring promising research methods into production
What you bring
- At least five years developing scalable data pipelines for machine learning, at staff or lead engineer level
- Strong grounding in ML data curation and engineering for LLMs, VLMs or other large multimodal models
- You can build production-grade ML data infrastructure and tools for labeling, filtering, deduplication and quality checks
- Experience with distributed data systems such as Spark, Hadoop or Ray, plus Python, SQL or similar programming
Who this fits
This role suits a staff- or lead-level engineer focused on research data systems and multimodal model training. It is listed as remote in the United States, with a flexible on-site or remote hybrid arrangement and headquarters in Palo Alto.
From the employer
About the Role
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 our advanced multimodal foundation models. This pivotal role will strengthen our research teams by building, optimizing, and owning large-scale data pipelines and robust ML data curation, ensuring our foundation models have access to the highest quality and most diverse datasets. If you are passionate about powerful data infrastructure and innovative research-engineering, join us to make an impact for millions of creators.
What You’ll Do
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
Prototype and productionize new methods for dataset creation, management, and continuous improvement in response to researcher needs
Contribute to the integration of research-driven data advancements into production-ready systems
Stay informed on emerging data engineering and ML data management developments, bringing best practices to our systems
What We’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
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
What We Offer
Competitive salary and substantial equity in a high-growth startup
Full health benefits, 401k matching, and more
Collaborative, mission-driven team environment with major growth opportunities
Flexible on-site/remote hybrid (HQ in Palo Alto, CA)
About Pika
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.
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