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# Machine Learning Data Curation Engineer

- **Company:** XPeng Inc.
- **Location:** Santa Clara, United States
- **Experience:** Expert
- **Salary:** $174,720.0 - $295,680.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Amazon Web Services, Big Data, BigQuery, Data Files, Data Governance, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Google Cloud, Pytorch, Information Technology, HuggingFace, Data Management, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/a1d618c7-b4e7-4641-a9d0-93d82f445770

## About the Role

* Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
 * Technical Skills:
 + Proficiency in programming languages like Python or SQL.
 + Experience with Big Data tools and cloud platforms (e.g., AWS, Google Cloud Platform, BigQuery).
 + Familiarity with ML frameworks (e.g., PyTorch, Hugging Face).

 * Experience: 3+ years managing large-scale datasets, developing data curation heuristics, and working alongside ML researchers or data scientists.
 * Analytical Mindset: Strong problem-solving skills to identify data quality anomalies, address model biases, and establish evaluation frameworks.

## Description

* Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
 * Pipeline Development: Build and maintain scalable data processing pipelines and automated intelligent agents to continuously ingest, clean, and enrich training data.
 * Quality & Benchmarking: Define, track, and optimize dataset quality metrics (e.g., diversity, absence of bias) to directly improve ML model performance.
 * Annotation & Labeling: Design and manage data annotation workflows, collaborating with domain experts to ensure clear, accurate classification protocols.
 * Governance & Compliance: Maintain data provenance, ensure compliance with data governance policies (e.g., GDPR, HIPAA if applicable), and enforce data security measures.


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