Senior ML Data Engineer — Remote Data Pipelines

Bright Vision Technologies; Palo Alto (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking a Machine Learning Data Engineer to build and operate large-scale data systems powering AI training pipelines. The role emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong Python and JVM language skills, and expertise with Spark, Ray, or Beam and petabyte-scale storage. This is a 100% remote-US position.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of data engineering experience with ML/AI workloads.
• Strong Python and at least one JVM or systems language.
• Deep experience with Spark, Ray, or Beam.
• Hands-on experience with petabyte-scale storage and pipelines.
• Strong knowledge of distributed systems, data modeling and formats.
• Experience with dataset versioning, lineage, and reproducibility for ML.

Responsibilities

• Build and operate large-scale data systems powering AI training pipelines.
• Focus on ingestion, transformation, quality assurance, and lineage.
• Deliver data to training jobs across modalities with high throughput.
• Collaborate cross-functionally to ensure model training efficiency.

Skills

Python

Java

Spark

Ray

Beam

CI/CD

Data modeling

Distributed systems

Data pipelines

Education

Bachelor’s or Master’s in Computer Science

Tools

Python

Java

Spark

Ray

Beam

CI/CD

Petabyte-scale storage

Job description

Bright Vision Technologies is seeking a Machine Learning Data Engineer to build and operate large-scale data systems powering AI training pipelines. The role emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong Python and JVM language skills, and expertise with Spark, Ray, or Beam and petabyte-scale storage. This is a 100% remote-US position.