ML Data Engineer, Replica Pipelines for 3D Vision

Parallel Domain; Vancouver; Hybrid; CAD 130,000 - 160,000; Full time

Job summary

A tech company specializing in AI is looking for a Machine Learning Data Engineer to support the development of their Replica product. In this role, you'll build and scale data pipelines that normalize and validate data for machine learning models. The ideal candidate will have a strong background in data engineering, 3D concepts, and proficiency in Python. You'll work closely with ML engineers and have the opportunity to contribute to cutting-edge developments in autonomous systems. Competitive compensation is offered, ranging from $130K to $160K/year.

Benefits

Competitive compensation

Collaborative culture

Professional growth opportunities

Impactful work

Qualifications

• Proven experience building scalable data pipelines and tooling.
• Understanding of how data is used in model training and evaluation.
• Practical experience with 3D concepts and computer vision principles.
• Strong Python proficiency and comfort with large datasets.
• Experience working closely with ML engineers on data needs.

Responsibilities

• Build reliable pipelines to normalize and validate data.
• Create schemas, validation checks, and quality metrics for datasets.
• Implement tools for dataset filtering, versioning, and annotation support.
• Generate high-quality data feeds for ML training and evaluation.

Skills

Data engineering experience

ML-aware engineering

3D Foundations

Strong Python proficiency

Collaborative mindset

Education

MS or PhD in ML, computer vision, robotics, or related field

Tools

Cloud storage

Data visualization systems

Job description

A tech company specializing in AI is looking for a Machine Learning Data Engineer to support the development of their Replica product. In this role, you'll build and scale data pipelines that normalize and validate data for machine learning models. The ideal candidate will have a strong background in data engineering, 3D concepts, and proficiency in Python. You'll work closely with ML engineers and have the opportunity to contribute to cutting-edge developments in autonomous systems. Competitive compensation is offered, ranging from $130K to $160K/year.