Research Scientist, Data

Highlights

• Architect large-scale pipelines powering multimodal foundation model training.
• Curate diverse text, image, audio and video datasets for pre-training.
• Build real-time creative infrastructure used by millions of creators.

What they offer

• Substantial equity in high-growth startup
• Full health benefits
• 401k matching

Ideal candidate

Data-driven research engineer who thrives owning large-scale systems and enabling frontier research. Passionate about data excellence, collaboration, and powering generative creativity for millions.

Requirements

• 5+ years building and scaling data pipelines for ML at staff or lead level
• Background in data engineering and ML curation for LLMs, VLMs or multimodal models
• Expertise in distributed data systems and large-scale ETL workflows
• Proven ability to build production-grade data infrastructure for ML pipelines
• Experience with data labeling, filtering, deduplication and quality assurance tools
• Strong programming skills in Python, SQL, PySpark or similar and cloud platforms
• Knowledge of privacy, compliance, ethics and best practices in data management
• Excellent cross-functional collaboration, problem-solving and communication skills