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Research Scientist, Data
Pika · Palo Alto, California, United States
Pay
$185k–400k
Setting
On-site
Research Scientist, Data
Location
Palo Alto HQ
Employment Type
Full time
Location Type
On-site
Department
Research
Compensation
US location
Base Salary $185K – $400K • 0.1% – 0.3%
Overview
Application
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.
Apply for this Job
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Listed by Pika for a position based in the United States. Employers on this board attest they are hiring domestically.
Research Scientist, Foundation Model (Video Generation)
Pika · Palo Alto, California, United States
Pay
$185k–400k
Setting
On-site
Research Scientist, Foundation Model (Video Generation)
Location
Palo Alto HQ
Employment Type
Full time
Location Type
On-site
Department
Research
Compensation
US location
Base Salary $185K – $400K • 0.1% – 0.3%
Overview
Application
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 seeking accomplished Research Scientists in Foundation Models with expertise in pre-training and mid-training large-scale multimodal foundation models to advance our mission of making agentic, real-time generative technology accessible and transformative for millions of creators. This is a staff and lead-level opportunity.
As a key member of our research team, you will design and implement core technologies, develop new methodologies for large-scale multimodal pre-training/mid-training (text, image, audio, and video), and drive innovative approaches for foundational model architecture. You will collaborate closely with engineering and product teams, shaping the future of real-time creative and agentic platforms at scale.
What You’ll Do
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.
What We’re Looking For
5+ years of research experience in large-scale pre-training/mid-training of multimodal foundation models (LLMs, VLMs, Audio LMs, or similar), ideally at the staff or lead scientist level.
Track record as a first author on major publications in top conferences or journals (e.g., NeurIPS, ICML, ICLR).
Extensive hands-on experience with large-scale multimodal model design, training, and deployment.
Deep understanding and implementation experience with generative architectures (diffusion, autoregressive, cross-modal, etc.).
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.
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 leading researcher excited to build and scale real-time multimodal foundation models, we want to hear from you.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Pika for a position based in the United States. Employers on this board attest they are hiring domestically.
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