Staff/Lead Research Engineer (Data)

TL;DR

Staff/Lead Research Engineer (Data): Architecting and scaling data engineering systems for multimodal foundation model training with an accent on large-scale data pipelines and ML data curation. Focus on building robust infrastructure for ingestion, cleaning, and management of diverse datasets to power real-time generative AI.

Location: Must be based in or able to work on-site in Palo Alto, CA

Salary: $185,000 – $400,000

Company

hirify.global is a high-growth startup building state-of-the-art agentic and multimedia platforms to democratize creative technology.

What you will do

• Take ownership of large-scale data pipeline architecture for text, image, audio, and video datasets.
• Partner with research teams to curate, clean, and manage diverse datasets for model pre-training.
• Develop scalable tools for data ingestion, labeling, filtering, and augmentation.
• Ensure data quality, reliability, and compliance throughout the data lifecycle.
• Optimize data processing and delivery for distributed training pipelines.
• Prototype and productionize new methods for dataset creation and management.

Requirements

• 5+ years of experience building and scaling data pipelines for machine learning at a staff or lead level.
• Strong background in ML data curation for LLMs, VLMs, or multimodal models.
• Expertise in distributed data systems like Spark, Ray, or Hadoop.
• Strong programming skills in Python and SQL.
• Familiarity with cloud data platforms such as AWS, GCP, or Azure.
• Knowledge of data privacy, ethics, and compliance standards.

Culture & Benefits

• Competitive salary and substantial equity package.
• Full health benefits and 401k matching.
• Collaborative, mission-driven environment with significant growth potential.
• Flexible hybrid work policy based out of Palo Alto HQ.