AI Data Curation Architect for Scalable ML Pipelines

XPENG; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Job summary

XPENG seeks a Machine Learning Data Curation Engineer to lead data pipeline development and dataset management for our core AI initiatives, designing tools for data collection, cleaning, and annotation.

Responsibilities include dataset lifecycle management, scalable pipeline development, quality benchmarking, annotation workflows, and governance to uphold data security and privacy across cloud environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
• Proficiency in Python and SQL with experience in data curation and large-scale dataset management.
• Experience with cloud platforms and ML frameworks, plus strong analytical problem-solving skills.

Responsibilities

• Dataset lifecycle management: oversee collection, cleaning, and maintenance of large-scale datasets for model training.
• Pipeline development: build scalable data processing pipelines and automated agents to ingest and enrich data.
• Quality & benchmarking: define metrics to improve ML model performance and reduce biases.
• Annotation & labeling: design and manage data annotation workflows with domain experts.
• Governance & compliance: ensure data provenance, data governance, and security across platforms.

Skills

Python

SQL

Dataset management

Data quality

Problem solving

Education

Bachelor’s or Master’s in CS/DS/Engineering

Tools

AWS

GCP

BigQuery

PyTorch

Hugging Face

Job description

XPENG seeks a Machine Learning Data Curation Engineer to lead data pipeline development and dataset management for our core AI initiatives, designing tools for data collection, cleaning, and annotation.

Responsibilities include dataset lifecycle management, scalable pipeline development, quality benchmarking, annotation workflows, and governance to uphold data security and privacy across cloud environments.