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Added 14 hours ago
Data Scientist, Early Career (Canada)
Jobright.ai
Canada
Full-time
…innovative technologies. They are seeking an Early Career Data Scientist to develop predictive models, optimize AI performance, and analyze user data to enhance product…
Research ML Scientist
EnStream LP
Toronto, ON
Full-time
…spanning tabular, graph, and foundation model. The Research ML Scientist to lead model R&D and own model validation end-to-end. This is a hands-on, high-ownership role for someone who wants…
Fraud Data Scientist
EnStream LP
Toronto, ON
Full-time
We’re accelerating two high-priority fraud detection and prevention initiatives and need a hands-on Fraud Data Scientist. This role sits at the intersection of investigative analysis,…
Machine Learning Manager
LawZero
Montreal, Quebec
…with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua…
Senior ML Data Processing Developer
LawZero
Montreal, QC
…web-scale data into high-signal datasets used to train the Scientist…
Founding Engineers
Career Mentors, LLC
Remote, Canada
$150,000 to $450,000 USD / year
Contract · Remote
Roles: ML Engineer, AI Engineer, ML Infra, Applied AI, Research Scientist
Senior / Lead Applied Data Scientist
StyleSeat
Remote, Canada
$160,000 to $195,000 USD / year
Full-time · Remote
We’re looking for a product-minded, AI-native Data Scientist who operates like a mini-founder - someone who doesn’t wait for problems to be handed to them, but instead identifies…
Senior, AI & Data Science
Artefact
Montreal, QC
…clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic,…
Senior, AI & Data Science
Artefact North America
Montreal, QC
…clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic,…
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
…clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic,…
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
$175,000 to $300,000 CAD / year
Full-time
Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic…
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
$175,000 to $300,000 CAD / year
Full-time
Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic…
Applied Data Scientist / Engineer (Toronto-Hybrid)
Shift Technology
Toronto, ON
This role is part of our Data Science team which is the largest team in our organization consisting of over 180+ Data Scientists throughout the world.
Sr Data Scientist II
LexisNexis
Toronto, ON
Full-time
We are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering…
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
Full-time
…through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both…
Principal Data Scientist
AutoScout24
Toronto, Ontario
Full-time
…through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both…
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
…through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both…
UDA Business Analyst - Students Seeking Opportunities
Imperial Oil
Calgary, AB
Full-time
The student will collaborate with site operators, engineers, business stakeholders, data scientists, software developers, and management to understand business needs and translate them into…
UDA Business Analyst - Students Seeking Opportunities
ExxonMobil
AB · Calgary, AB
The student will collaborate with site operators, engineers, business stakeholders, data scientists, software developers, and management to understand business needs and translate them into…
Generative AI Engineer
LTM
Mississauga, ON
$80,000 to $90,000 CAD / year
Full-time
…AI. We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance…
Senior Data Scientist
J&M Group
Toronto, ON
Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Applied Machine Learning Scientist II
TD
Toronto, ON
Full-time
We are looking for a highly motivated Applied Machine Learning Scientist II to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities.
Data Scientist
AgileGrid Solutions
Canada
Full-time
McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience in Generative AI development. This role will lead the design, development, and deployment…
Research Technical Assistant - AI and Multimodal Foundation Models
University Health Network
Toronto, ON
Part-time
Working closely with the Lead AI Scientist, staff scientists, clinicians, and domain experts, students will participate in cutting-edge research aimed at building AI systems capable of…
Senior Data Scientist
Manulife
Toronto, ON
Full-time
This is a high-impact opportunity for an experienced data scientist to help ensure AI models are reliable, fair, safe, and fit for purpose before they are deployed across Manulife. As part…

LawZero

Senior ML Data Processing Developer

Montreal, QC, Canada

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Develop and scale end-to-end data pipelines to transform raw web-scale data into high-quality datasets for training the Scientist AI. This includes implementing algorithmic filtering, quality scoring, and ensuring rigorous benchmark integrity and data provenance.

Requirements

Requires a degree in computer science or a related field and 5+ years of experience in data processing or NLP with massive unstructured datasets. Proficiency in Python and distributed processing frameworks like Spark or Ray is essential.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Python
Spark
Ray
Flink
Airflow
Prefect
Dagster
Natural Language Processing
Distributed Processing
Data Pipeline Engineering
ML Engineering
PII Scrubbing
Data Governance
Docker
Kubernetes
LLM Evaluation

Benefits

Comprehensive Health Benefits
Mental Health And Wellness Management Account
20 Days Of Vacation Per Year
Additional Compensation Of 8% For Retirement Savings Or Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
NLP
Data Engineering
LLM
vLLM
SGLang
Weights And Biases
Data Curation
Toxicity Removal
PII Scrubbing
Data Leakage Detection
Distributed Computing
Web-Scale Data
Data Versioning
Provenance Tracking
Heuristic Filtering
ML Classifiers
Containerization
Infrastructure-as-Code
Data Licensing

Original job description

We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train the Scientist AI.

In this role, you will not just manage data; you will engineer its quality. You will design algorithmic filtering, build model-based scoring mechanics, and ensure rigorous benchmark integrity to power the next generation of AI. And as our models push beyond established paradigms, you will design and implement novel data transformations that don't yet have playbooks, working at the frontier of what training data can be.

We are hiring multiple people for this role, and responsibilities may be distributed across the team based on individual experience, skills, and interests.

Key Responsibilities

Partner with the Research team to define, build, automate, scale, and manage data pipelines that transform raw web-scale data into training datasets for the Scientist AI.
Build and maintain data processing pipelines, including deduplication, model-based quality scoring, heuristic filtering, toxicity removal, PII scrubbing, metadata extraction, and proprietary data transformations, with full dataset versioning and provenance tracking, optimizing for throughput and cost at scale.
Ensure all ingested data meets compliance requirements, internal Data Governance policies, and legal obligations.
Develop and refine the scoring and filtering toolchain: heuristics, LLM-as-a-judge evaluators, ML classifiers, metadata extraction modules, and human-in-the-loop review workflows required for data processing and quality assurance.
Instrument data processing pipelines with data-quality monitoring, guardrails, and alerting to catch regressions before they propagate downstream.
Collaborate with the Research team and other teams to understand evolving data requirements, then identify and acquire large-scale text corpora that meet those requirements. This includes conducting systematic coverage analyses to identify gaps in the corpus and develop targeted acquisition strategies to address them, and working with the Legal & Governance Team to license new data sources.
Design and maintain strict leakage detection mechanisms to guard against evaluation contamination across all stages of the data processing pipeline.
Build internal tooling and interfaces that let researchers explore, query, and understand available datasets with minimal friction.

Skills and Qualifications

Degree in computer science, software engineering, or a related field.
Proven track record of handling massive unstructured text datasets (trillion-token scale), with 5+ years of experience in data processing, machine learning engineering or Natural Language Processing (NLP).
Hands-on experience with distributed processing frameworks (e.g., Spark, Ray, Flink), designing and optimizing high-throughput pipelines.
Experience with data privacy implementation (PII scrubbing), content-safety filtering (toxicity, bias), and evaluation-contamination prevention.
Demonstrated ability to work across Research, Engineering, and/or Legal/Governance teams, translating varied requirements into concrete pipeline work.
Strong Python proficiency, including experience writing production-grade data-processing code.
Experience with pipeline orchestration frameworks (e.g., Airflow, Prefect, Dagster).

Nice to have

Experience training, fine-tuning, or deploying ML models for data-quality tasks (classifiers, LLM-based evaluators) and familiarity with LLM inference optimization (e.g. vLLM, SGLang).
Familiarity with containerized deployment (Docker, Kubernetes) and infrastructure-as-code practices.
Familiarity with ML experiment tracking tools (e.g. Weights and Biases).
Experience with data licensing workflows or web-scale data acquisition.
Contributions to open-source data processing or NLP tooling.

What we offer

The chance to contribute meaningfully to a globally critical initiative
Comprehensive health benefits (including mental health and wellness management account)
20 days of vacation per year upon start
Employer contribution of 4% to your retirement savings, with no required employee match
Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
A team of passionate world-class experts in their field
A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

About LawZero

LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good - developed and used safely towards human flourishing. For more information, visit www.lawzero.org

You belong here

At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.

Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.

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