机器学习数据工程师
Machine Learning Data Engineer
机器学习数据工程师 – 远程办公
Bright Vision Technologies 是一家技术咨询和软件开发公司，为美国各地提供云、人工智能、数据和企业解决方案。加入一家知名且备受尊敬的组织，拥有巨大的职业发展机会。
职位名称：机器学习数据工程师
地点：100% 远程（美国）
职位类型：全职，直接W2
薪资范围：每年 80,000–100,000 美元
所需经验：6 年以上
赞助：美国公民、绿卡持有者、EAD 持有者以及 H-1B 转移候选人欢迎申请。我们无法为该职位的新 H-1B 签证申请提供赞助。
职位简介
我们正在寻找一名机器学习数据工程师，负责构建和运行支持现代 AI 训练和评估流程的大规模数据系统。该职位结合了深厚的数据工程专业知识与对 AI 工作负载的深入理解，专注于数据摄取、转换、质量保证、数据血缘关系以及跨多种模态的数据高吞吐量交付。理想的候选人具备操作 PB 级数据系统的经验，扎实的软件工程基础，并清楚了解数据基础设施选择如何影响模型质量和训练效率。
必要资格
· 计算机科学或相关领域的学士或硕士学位。
- 六年以上数据工程经验，有支持 ML 或 AI 工作负载的显著经验。
- 精通 Python 和至少一种 JVM 或系统语言。
- 在现代数据处理框架（如 Spark、Ray 或 Beam）方面有丰富经验。
- 有操作 PB 级存储和流程系统的实际经验。
- 对分布式系统、数据建模和存储格式有深刻理解。
- 有 ML 工作流的数据集版本控制、血缘关系和可重复性经验。
- 熟悉基于加速器的训练的高吞吐量数据加载。
- 具备良好的软件工程实践，包括测试、CI/CD 和代码审查。
- 优秀的沟通能力和跨职能协作能力。
优先资格
· 在大规模多模态数据集方面的经验。
- 熟悉数据质量工具和数据集评估方法。
- 有隐私保护数据系统和受监管数据处理的经验。
- 有数据基础设施项目的开源贡献。
- 有支持大规模数据流水线的经验。
查看英文原文
Machine Learning Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Machine Learning Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an Machine Learning Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
· Bachelor’s or Master’s degree in Computer Science or a related field.
- Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
- Strong proficiency in Python and at least one JVM or systems language.
- Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
- Hands-on experience operating petabyte-scale storage and pipeline systems.
- Strong understanding of distributed systems, data modeling, and storage formats.
- Experience with dataset versioning, lineage, and reproducibility for ML workflows.
- Familiarity with high-throughput data loading for accelerator-based training.
- Strong software engineering practices including testing, CI/CD, and code review.
- Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
· Experience with multimodal datasets at large scale.
- Familiarity with data quality tooling and dataset evaluation methodology.
- Exposure to privacy-preserving data systems and regulated data handling.
- Open-source contributions to data infrastructure projects.
- Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to
Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Originally posted on Himalayas