Join a leading AI research team in Montreal as a Senior Machine Learning Data Engineer. You'll develop innovative training-data systems and work on large-scale NLP pipelines. This role focuses on engineering new approaches to training-data curation and infrastructure within a robust technical team.

Using your expertise, you will manage data quality at scale, contributing to advanced machine learning systems. The position uniquely intersects data engineering, machine learning, and large-scale training data curation, allowing for significant impact. Key Responsibilities:

- Design and build pipelines for web-scale data processing
- Process unstructured text datasets at trillion-token scale
- Develop automated data-quality systems using heuristics and ML




- Implement checks for data-quality regressions during model training
- Collaborate with AI researchers to refine training-data requirements

Requirements:

- 5+ years of experience in machine learning or data processing
- Solid production-level Python coding skills
- Hands-on experience with Spark, Ray, or Flink
- Knowledge of data governance and content-safety filtering
- Familiarity with orchestration tools like Airflow or Prefect

Your skills in NLP, data engineering, and Python will be critical in shaping the future of machine learning at our ambitious AI organization.

📌 Senior Machine Learning Data Engineer Montreal
🏢 kadence
📍 Montreal