Job Description
Job Title: Research Scientist, Data
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Position Type: Permanent (Full-Time)
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Location: Palo Alto, CA (On-site)
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Salary Range / Rate: 185k-400k
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Job ID#: #172860
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Job Description:
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We are seeking a staff or lead-level Research Scientist, Data to architect and scale data engineering systems supporting model training for advanced multimodal foundation models. This role is central to research operations — owning large-scale data pipelines and ML data curation to ensure foundation models are trained on the highest-quality, most diverse datasets across text, image, audio, and video modalities.
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Responsibilities:
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- Architect and implement large-scale data pipelines supporting model training and research workflows across multimodal datasets
- Partner with research and engineering teams to curate, clean, and manage datasets for pre-training and mid-training of multimodal models
- Develop scalable strategies and tooling for data ingestion, labeling, filtering, augmentation, and storage
- Ensure data quality, reliability, and compliance, including privacy and ethical governance 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
- Integrate research-driven data advancements into production-ready systems
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Requirements:
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- 5+ years of experience building and scaling ML data pipelines at staff or lead level, ideally in research or model training environments
- Strong background in data engineering and ML data curation for LLMs, VLMs, or large-scale multimodal models
- Expertise in distributed data systems (Spark, Hadoop, Ray, or equivalent) and ETL workflows at scale
- Proven track record building production-grade data infrastructure for ML pipelines
- Experience with data labeling, filtering, deduplication, quality assurance, and dataset management tooling
- Strong programming skills in Python, SQL, and/or PySpark; familiarity with cloud platforms (AWS, GCP, or Azure)
- Knowledge of privacy, compliance, and ethical standards in data collection and management
- Strong cross-functional communication and collaboration skills
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About Us:
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Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
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IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
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Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.
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