Jobs in Canada

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Added 9 days ago
E
Principal Data Scientist
EXL
ON · Ontario, Canada
- Full-time
We are hiring a US based Principal Data Scientist to be our most senior technical voice in data science. You will turn business problems into practical machine learning and GenAI solutions,…
Added 19 days ago
T
Senior Applied Machine Learning Scientist (predictive analytics)
TD
Toronto, ON · Montreal, QC
- Full-time
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible…
Added 26 days ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 26 days ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn…
Added 29 days ago
K
Architect, Machine Learning (Principal Scientist)
Kinaxis
Ottawa, ON
- Full-time
What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn…
Added 1 month ago
W
Principal AI Researcher
Workday
Vancouver, BC
- Full-time
As a Principal AI Researcher, you will be a technical founder and visionary for the Workday AI Research Team. This is a role for a scientist-leader who thrives on defining the frontier…
Added 2 months ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON · Montreal, QC
- Full-time
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible…
Added 2 months ago
TH
SCIENTIFIQUE DES DONNÉES, ASKUITY, CANADA
The Home Depot Canada
Toronto, ON
- Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 2 months ago
TH
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
- Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
…enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure…
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
…enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure…
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
…Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong…
Added 1 month ago
Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
We are looking for a Principal Applied AI Scientist to take product ideas from 0 to 1 and define how we do new AI product innovation. You'll have a lot of independence: you set the…
Added 3 months ago
EN
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks
Toronto, Ontario
- Full-time
Principal Data Scientist – (Gen AI, Machine Learning)
Added 4 months ago
K
Architect, Machine Learning (Principal Scientist)
Kinaxis
Canada
- Full-time
What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn…
Added 3 months ago
M
Principal Data Scientist
Mastercard
Toronto, ON
- Full-time
Mastercard is seeking a Principal Data Scientist to lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product that enhances consumer…
Added 6 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
…marketplace 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…
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
…marketplace 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…

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Workday

Principal AI Researcher

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 1, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About The Team

Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory, Workday’s innovation hub. While Agent Factory builds the production-grade agents used by 65M+ people, the AI Research team discovers the fundamental breakthroughs that make those agents possible.

We are a high-impact, "research-to-reality" team. We don’t just conduct experiments in a vacuum; we solve the hardest enterprise-level problems in reasoning, planning, and multi-modal understanding. As a founding member of this research arm, you will help shape our research culture, publication strategy, and the fundamental intelligence layer of the Workday platform.

About The Role

As a Principal AI Researcher, you will be a technical founder and visionary for the Workday AI Research Team. This is a role for a scientist-leader who thrives on defining the frontier rather than just following a roadmap. You will move the needle on how LLMs and autonomous agents function within the complex, high-trust environment of global enterprise data.

You will bridge the gap between groundbreaking theory and massive-scale application. Your work will involve defining research roadmaps for agentic reasoning, long-horizon planning, and model alignment, ensuring that Workday remains the world leader in responsible, intelligent enterprise agents.

Key Responsibilities:

Define research direction in Agentic AI and LLMs.
Advance the state of the art in agentic systems, including retrieval, grounding, memory, context, personalization, etc.
Foundational Model Research: Advance Workday’s proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain-specific alignment for HR and Finance workflows.
Publish & Open Source: Lead Workday’s contribution to the global AI community through publications at top-tier venues (NeurIPS, ICLR, ICML, ACL, etc.) and strategic open-source releases.
Research-to-Production Bridge: Partner with Agent Factory engineering pods to integrate SOTA research into production-ready services that scale to the world's largest organizations.
Mentorship & Culture: Act as a force multiplier for the newly formed research team, fostering a culture of scientific rigor, curiosity, and high-velocity experimentation.

About You

Basic Qualifications

8+ years of experience in AI/ML research or applied science, with a proven history of taking products from applied research to global-scale production.
Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Math, Physics, or equivalent technical field.
4+ years of professional experience using deep learning frameworks such as PyTorch, JAX, or TensorFlow.
2+ years of deep expertise in LLMs or VLMs, specifically in training, alignment (RLHF/DPO), or agentic reasoning frameworks.
SOTA Publication Record: A strong history of lead-researcher publications in top AI venues OR a proven track record of shipping industry-defining AI innovations to millions of users.

Other Qualifications

Agentic AI Pioneer: Strong background in reinforcement learning, tool-use, or multi-agent systems.
Systems Thinking: Ability to conduct research under real-world constraints, such as latency, cost-to-serve, and enterprise data privacy.
Leadership in Ambiguity: Proven experience in building a research agenda from the ground up and leading technical strike teams through open-ended problems.
Communication: Exceptional ability to translate complex research breakthroughs into strategic value for product leaders and executive stakeholders.
Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the world’s largest workforces.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $228,000 USD - $342,000 USD

Additional US Location(s) Base Pay Range: $206,000 USD - $370,000 USD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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More about this job

Responsibilities

Define and lead the research direction for Agentic AI and LLMs to advance the state-of-the-art in enterprise-grade intelligent agents. Partner with engineering teams to bridge the gap between groundbreaking research and production-ready services at scale.

Requirements

Requires 8+ years of experience in AI/ML research with a proven track record of shipping industry-defining innovations. Candidates must hold a Ph.D. or Master’s degree in a technical field and possess deep expertise in LLMs, deep learning frameworks, and agentic reasoning.

Skills

Artificial Intelligence
Machine Learning
LLMs
Agentic AI
Reinforcement Learning
PyTorch
JAX
TensorFlow
Research
Data Privacy
System Architecture
Model Alignment
Multi-modal Understanding
Strategic Leadership
Mentorship

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
LLMs
Agentic AI
Reinforcement Learning
PyTorch
JAX
TensorFlow
RLHF
DPO
Retrieval
Grounding
Memory
Context
Personalization
Multi-agent Systems
Enterprise Data
NeurIPS
ICLR
ICML
ACL
Research-to-reality
Agent Factory
Model Alignment
Deep Learning
Software Development
Innovation
Strategic Planning
Mentorship
Scientific Rigor

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