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Added 6 days ago
Winter 2027: WiSE AI Developer Co-op (4 months)
CGI
Toronto, ON
Full-time
Understanding of fundamental machine learning and artificial intelligence concepts.
Added 6 days ago
Computer Vision Engineer
SearchLabs
Mississauga, ON
$200,000 to $250,000 CAD / year
Full-time
Strong professional experience in Computer Vision, Machine Learning, Applied AI, or a closely related discipline.
Added 6 days ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
We’re looking for a GenAI Engineer who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll design and deploy solutions that work in the…
Added 6 days ago
Machine Learning Engineer Intern – Voice AI
Alexander College
Vancouver, BC
Full-time
The Machine Learning Engineer Intern will contribute to the development of ALEBEX's production Voice AI systems, working across machine learning model training, post-training, evaluation,…
Added 16 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 7 days ago
Software Dev Engineer, Machine Learning Compilers, Edge AI Compiler and Runtime Team
Amazon
Vancouver, BC
…program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large software to run reliably under tight constraints. People…
Added 21 days ago
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 7 days ago
Senior AI Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ years of dedicated focus building…
Added 18 days ago
Senior AI Software Engineer, Full-Stack Applications - AI Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Software Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered platforms and applications that will transform…
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Global Gainsight Admins Community
Toronto, ON
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 16 days ago
Research Engineer – Multimodal AI & Interaction
Huawei Canada
Markham, ON
Full-time
The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research. We focus on…
Added 17 days ago
Lead AI-ML Engineer
Bestica Inc.
Waterloo, ON
Full-time
As an AI/ML Engineer, you’ll build the models behind this platform, working closely with the founders on GNNs, computer vision, LLMs, and deep learning. You’ll take ML research from…
Added 12 days ago
Lead Data Scientist- Canada
Very LLC
Remote, Canada
$100 CAD / hour
Contract · Remote
…plumbing, and 40 percent client-facing judgment. This is not a research role. The people who succeed here are as comfortable owning a data pipeline end to end as they are training a…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 19 days ago
Machine Learning Data Engineer
kadence
Montreal, QC
Full-time
We’re working with an ambitious AI research organization building next-generation machine learning systems and are looking for multiple Senior Machine Learning Data Engineers to join its…
Added 1 month ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
Fitch Ratings is seeking a Lead Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 28 days ago
Senior, AI & Data Science
Artefact
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 19 days ago
Senior Machine Learning Engineer
Xero
Remote, Canada
Full-time · Remote
…analysts within our broader Data & Science division. As a Sr. Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and…
Added 19 days ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Added 23 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
$113,000 to $152,000 CAD / year
Full-time
…AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI…
Added 24 days ago
AI Research Engineer
Deloitte
Toronto, ON
Full-time
We are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and…
Added 25 days ago
Physical AI Engineer
EY
Toronto, ON
Full-time
This is a hands-on engineering role at the intersection of robotics, machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The successful candidate will…

kadence

Machine Learning Data Engineer

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Experience: 5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Posting language: English
Posted: Sep 2, 2026

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Applications open in a new tab.

Original job description

Senior Machine Learning Data Engineer

Location: Canada

The Opportunity

This is an opportunity to work alongside a highly accomplished AI research team tackling fundamental problems in advanced machine learning.

Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.

The organization is building a substantial technical team in Montreal, and we are hiring multiple people across this area.

If you’ve worked on LLM training data, large-scale NLP pipelines, foundation-model infrastructure or web-scale data processing, I’d be interested in speaking with you.

We’re working with an ambitious AI research organization building next-generation machine learning systems and are looking for multiple Senior Machine Learning Data Engineers to join its growing technical team.

This role sits at the intersection of data engineering, machine learning, NLP, and large-scale training data curation.

You’ll be responsible for building and scaling the infrastructure that transforms raw, web-scale data into high-quality datasets used to train advanced AI models.

The core challenge is engineering data quality at enormous scale: developing filtering systems, model-based quality scoring, dataset transformations, contamination detection, and tooling that allows researchers to understand and work with training corpora effectively.

What You’ll Work On

Design, build and scale pipelines that transform raw web-scale data into high-quality datasets for training large machine learning models.
Process extremely large unstructured text corpora, including datasets at trillion-token scale.
Build sophisticated data-processing systems covering: Deduplication, Model-based quality scoring, Heuristic filtering, Toxicity and content-safety filtering, PII detection and removal, Metadata extraction, Dataset transformations, Versioning and provenance tracking
Develop automated data-quality systems using a combination of heuristics, ML classifiers, LLM-based evaluators and human-in-the-loop workflows.
Build monitoring and guardrails to identify data-quality regressions before they impact downstream model training.
Work closely with AI researchers to understand evolving training-data requirements and identify gaps within existing datasets.
Design robust evaluation contamination and data-leakage detection systems.
Build internal tools that allow researchers to easily explore, query and understand large datasets.
Optimize large-scale distributed processing systems for throughput, reliability and infrastructure cost.

What We’re Looking For

5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Experience working with very large unstructured text datasets, ideally at web or foundation-model scale.
Strong production-level Python.
Hands-on experience with distributed data-processing technologies such as: Spark, Ray, Flink
Experience designing and optimizing high-throughput distributed pipelines.
Experience with areas such as: PII scrubbing, Content-safety filtering, Dataset quality, Evaluation contamination, Training-data governance
Experience with workflow orchestration frameworks such as Airflow, Prefect or Dagster.
Ability to work closely with both research and engineering teams and translate research requirements into scalable infrastructure.

Particularly Relevant Experience

We’d be especially interested in people who have worked on:

Pretraining or post-training data pipelines for LLMs
Foundation-model training infrastructure
Web-scale text processing
Common Crawl or comparable large-scale datasets
Dataset curation for large language models
LLM-based data-quality evaluation
ML classifiers for filtering or scoring training data
Large-scale data acquisition
Dataset deduplication and contamination detection
Distributed ML/data infrastructure

Experience with vLLM, SGLang, Docker, Kubernetes, infrastructure-as-code, experiment tracking or open-source NLP/data tooling would also be valuable.

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More about this job

Responsibilities

Design and scale infrastructure to transform raw, web-scale unstructured text into high-quality datasets for training advanced AI models. Develop automated data-quality systems, filtering mechanisms, and internal tools to support AI researchers.

Requirements

Requires 5+ years of experience in machine learning engineering or data infrastructure with strong production-level Python skills. Must have hands-on experience with distributed processing technologies like Spark or Ray and working with large-scale unstructured text datasets.

Skills

Python
Spark
Ray
Flink
NLP
LLM Training Data
Distributed Data Processing
Airflow
Prefect
Dagster
Data Curation
Kubernetes
Docker
vLLM
SGLang
Data Pipeline Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Engineering
NLP
LLM
Foundation Models
Web-scale Data
Deduplication
PII Detection
Content-safety Filtering
Common Crawl
Data Leakage Detection
Distributed Systems
Infrastructure-as-code
Experiment Tracking
Data Governance
Trillion-token Scale
Heuristic Filtering
Model-based Quality Scoring
vLLM
SGLang
Docker
Kubernetes
Airflow
Prefect
Dagster
Spark
Ray
Flink
Python
Data Pipelines

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