Machine Learning Data Engineer

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 [email protected].

Bright 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.