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Added 6 months ago
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Technical Customer Success Manager
Netomi
Remote, Canada
- Full-time
- Remote
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic…
Added 1 month ago
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Technical Program Manager
Quantiphi
Canada
- Full-time
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
Added 1 month ago
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Audit Innovation Principal, AI
Caseware
Toronto, ON
- $145,000 to $165,000 CAD / year
- Full-time
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Montreal, QC
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
Developing and serving high-throughput predictive models for strategic marketplace optimization initiatives
Added 1 month ago
E
Senior Backend Developer
EDealer
Canada
- Full-time
…Today we are focused on Merchandising Automation and Vehicle Optimization. Consistent with our long-term goals, our objective is to reduce the time required by dealers to reach the maximum…
Added 4 months ago
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Python Full Stack Developer (contract)
Capgemini
Montreal, QC
- Contract
We are seeking an accomplished Full Stack Developer with expertise in Generative AI (GenAI) technologies to join our team and drive key initiatives forward.
Added 1 month ago
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Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Agentic AI Architecture - Design and orchestrate multi-step autonomous AI agents with tool use, memory, planning, and guardrails (e.g., ReAct, function calling, agent loops,…
Added 1 month ago
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Software Engineer
Outschool
Canada
- $90,000 to $229,500 CAD / year
- Full-time
…and educators to engage in love of learning, all through an agentic-first development paradigm. There is a wide variety of exciting and high-impact engineering challenges for the right…
Added 2 months ago
Data Science Chief Expert, CX
SAP
Montreal, QC
Apply advanced methods across machine learning, deep learning, statistical modeling, data mining, optimization, and applied AI to solve enterprise-scale problems.
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Agentic AI Architecture - Design and orchestrate multi-step autonomous AI agents with tool use, memory, planning, and guardrails (e.g., ReAct, function calling, agent loops,…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Agentic AI Architecture - Design and orchestrate multi-step autonomous AI agents with tool use, memory, planning, and guardrails (e.g., ReAct, function calling, agent loops,…
Added 1 month ago
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Director of AI
APPLY
Toronto, ON
- Full-time
APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports,…
Added 1 month ago
Senior Data Platform Engineer
LawZero
Montreal, QC
…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…
Added 1 month ago
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Researcher-AI Agents
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
LLM/VLM SFT, reinforcement learning, RLHF/RLVR, preference optimization, or other post-training techniques.
Added 1 month ago
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Senior Solution Architect
SPECTRAFORCE
Toronto, ON
- Contract
…and technology teams to assess current processes, identify optimization opportunities, and design future-state solutions that improve efficiency, customer experience, and operational…
Added 3 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
Added 3 months ago
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AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
…systems - spanning classical machine learning, generative AI, and agentic systems - ensuring they are purposefully architected to meet client business objectives and enterprise-grade…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
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…
Added 1 month ago
Sr. Product Manager - Agentic Security
Okta
Toronto, ON
…line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution -…
Added 4 months ago
C
Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural
Added 4 months ago
C
Principal Software Developer – AI Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – AI Data Architect to drive the technical vision and architectural strategy of Caseware’s AI-Ready Data Platform. This role will define the…
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 3 months ago
LB
Manager, Commercial Reporting & AI Development
Labatt Breweries of Canada
Toronto, Ontario
- Full-time
…capabilities within BEES while building next-generation AI and agentic solutions across the Commercial Reporting team. (BEES is Labatt’s digital B2B ordering platform, connecting retailers…
Added 1 month ago
Staff Software Engineer, Growth
Tubi - Canada
Toronto, ON
Leading-Edge AI Implementation: Lead the adoption and integration of cutting edge AI tools and agentic workflows (Claude Code, Cursor, etc.) across the SDLC, from design-doc drafting and…

LawZero

Senior ML Data Processing Developer

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Sep 9, 2026

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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More about this job

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.

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

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