Engineer massive text datasets with Python and distributed processing at LawZero in Montreal, supporting Scientist AI training. Shape high-signal data pipelines at scale.

As a Senior Machine Learning Data Processing Developer, you will work across data engineering, curation, and machine learning. Build production pipelines for web-scale datasets, with deduplication, quality scoring, filtering, privacy controls, and provenance. Partner with Research, Engineering, and Legal/Governance teams to translate evolving requirements into reliable data systems.

Key Responsibilities:

- Build and scale pipelines transforming raw web-scale data into training datasets
- Implement deduplication, scoring, filtering, metadata extraction, and PII scrubbing
- Monitor quality, guardrails, alerting, leakage, and dataset provenance




- Acquire text corpora and analyze coverage gaps systematically
- Develop researcher tools for dataset exploration and querying

Requirements:

- Computer science, software engineering, or related degree
- Five-plus years processing massive unstructured text datasets
- Python proficiency and production-grade data-processing experience
- Distributed frameworks such as Spark, Ray, or Flink
- Pipeline orchestration experience with Airflow, Prefect, or Dagster

Bring large-scale data processing, machine learning, and quality engineering expertise to LawZero’s Scientist AI data pipeline.

📌 Senior Machine Learning Data Engineer (Montreal)
🏢 LoiZéro
📍 Montreal