ML Infrastructure Engineer: Scale Data & AI Platforms

Serve Robotics; Vancouver; On-site; CAD 155,000 - 190,000; Full time

Job summary

A technology innovation firm in Vancouver is seeking a skilled Software Engineer for their Machine Learning Infrastructure team. The candidate will design and maintain large-scale data processing systems, build features for data discovery, and integrate third-party platforms. A strong background in computer science, data engineering, and proficiency in Python and SQL are essential. This role is pivotal for leveraging data from a fleet of autonomous robots, ensuring efficient data workflows and machine learning capabilities.

Qualifications

• 3+ years of industry experience in data processing and feature extraction.
• Solid understanding of data distributions and their impact on ML.
• Hands-on experience with large volume data annotation workflows.

Responsibilities

• Develop and maintain data pipelines for data curation and ML feature extraction.
• Build data discovery features for the platform.
• Create search features such as natural language querying.

Skills

Data processing pipelines

Data mining and search capabilities

Python

SQL

Large-scale vector databases

Education

BS or MS in computer science

Tools

CVAT

LabelBox

LabelStudio

Job description

A technology innovation firm in Vancouver is seeking a skilled Software Engineer for their Machine Learning Infrastructure team. The candidate will design and maintain large-scale data processing systems, build features for data discovery, and integrate third-party platforms. A strong background in computer science, data engineering, and proficiency in Python and SQL are essential. This role is pivotal for leveraging data from a fleet of autonomous robots, ensuring efficient data workflows and machine learning capabilities.