Jobs in Canada

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Added 3 hours ago
MA
IAM RBAC Business Solution Analyst Lead
Marsh Agency
Toronto, ON
- Full-time
Marsh is seeking an experienced IAM RBAC Business Solutions Lead to establish, own, and lead our enterprise-wide Role-Based Access Control (RBAC) function.
Added 3 hours ago
MA
Oliver Wyman - Senior Lead AI Developer
Marsh Agency
Toronto, ON
- Full-time
Knowledge of one or more agentic platforms , including but not limited to: Azure Foundry, AWS Bedrock, Gemini Enterprise Agent Platform
Added 4 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
We are looking for a Staff Machine Learning & AI Engineer to lead the engineering architecture of our multi-agent AI systems, with a focus on agent-driven products. In this role, you will…
Added 4 hours ago
LS
DevSecOps Engineer - Permanent - 19668
LRO Staffing
Ottawa, ON
- Full-time
…telemetry, participate in shared on-call incident response, and lead post-incident analyses to continuously elevate platform uptime and delivery…
Added 5 hours ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns, and build consensus across teams.
Added 5 hours ago
NS
Senior Performance Test Lead / Specialist
N2P Systems
Toronto, ON · North York, ON
- $60 to $70 CAD / hour
- Contract
N2P Systems is seeking an experienced Senior Performance Test Lead / Specialist to join our enterprise technology delivery team in North York, ON, Canada. At N2P Systems, you will put 8+…
Added 5 hours ago
OD
Salesforce Product Manager
OSI Digital
Toronto, ON
- $40,000 to $110,000 CAD / year
- Full-time
…initiative and needs someone who can engage credibly with the platform's capabilities and constraints during discovery. The Product Manager will lead high-level discovery sessions with…
Added 5 hours ago
OD
Salesforce Product Manager
OSI Digital
Vancouver, BC
- $40,000 to $110,000 CAD / year
- Full-time
…initiative and needs someone who can engage credibly with the platform's capabilities and constraints during discovery. The Product Manager will lead high-level discovery sessions with…
Added 5 hours ago
BU
Data and Integrations Architect
Brock University
St. Catharines, ON · Main Campus (Employees)
- Full-time
Reporting to IT Manager, Enterprise Solutions - Foundational Technologies, the Data and Integrations Architect is responsible for designing the data and integration architecture that…
Added 5 hours ago
M
Lead Architect, Cloud & AI – Asia
Manulife
Toronto, ON
- Full-time
Guide the integration of cloud and AI capabilities with enterprise platform, data, API, identity, and security services.
Added 6 hours ago
SP
DevOps Architect (CAN)
Salesforce Partner Canada
Toronto, ON
- Full-time
…volumes and critical demands while balancing technical and enterprise-level…
Added 6 hours ago
FI
Senior AI Solutions Lead
Flexstaf I.T. Inc.
Regina, SK
- Contract
Seeking a hands-on Senior AI Solutions Lead to independently deliver AI initiatives, working with business stakeholders from discovery and prioritization through architecture, production…
Added 6 hours ago
O
Lead AI Developer
OpenText
Waterloo, ON
- Full-time
We’re looking for a Lead Automation & AI Developer to build intelligent, scalable solutions that automate IT operations, reduce manual effort, and improve reliability. You’ll lead hands-on…
Added 6 hours ago
O
Lead AI Developer
OpenText
Mississauga, ON
- Full-time
We’re looking for a Lead Automation & AI Developer to build intelligent, scalable solutions that automate IT operations, reduce manual effort, and improve reliability. You’ll lead hands-on…
Added 6 hours ago
O
Lead AI Developer
OpenText
Richmond Hill, ON
- Full-time
We’re looking for a Lead Automation & AI Developer to build intelligent, scalable solutions that automate IT operations, reduce manual effort, and improve reliability. You’ll lead hands-on…
Added 7 hours ago
H
Azure Databricks Architect
HabileLabs
Toronto, ON
- Contract
Habilelabs is seeking an experienced Lead Architect with strong expertise in Microsoft Azure, Databricks, and modern Data & AI platforms. This role will design and deliver scalable, secure,…
Added 7 hours ago
J
Founding Product Lead - B2B2C Insurtech
Toronto, ON
- Full-time
We're looking for a Founding Product Lead to help shape this product from its earliest stages. You'll work directly with the founding team and enterprise partners to define the product,…
Added 7 hours ago
4S
Senior Databricks Platform Architect / Lead
49 Solutions
Ottawa, ON
- $150,000 to $250,000 CAD / year
- Contract
Candidates must hold a valid and active Government of Canada Reliability, Secret or Top Secret security clearance
Added 7 hours ago
4S
Senior Databricks Platform Architect / Lead
49 Solutions
Remote, Canada
- $150,000 to $250,000 CAD / year
- Contract
- Remote
Candidates must hold a valid and active Government of Canada Reliability, Secret or Top Secret security clearance
Added 8 hours ago
D
Senior Manager, Training
Docker
Remote, Canada
- Full-time
- Remote
…personally building the first learning paths and standing up the platform, and you will grow into leading a team as the Training function…
Added 8 hours ago
S
Lead Platform Architect/Architecte Responsable des Plateformes (Montreal)
Slalom
Montreal, QC
- Full-time
Candidates must live within a reasonable commuting distance of Slalom’s Montreal office
Added 8 hours ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
Lead development of production web applications and supporting server-side services using modern HTML, CSS, JavaScript/TypeScript, APIs, and server-side technologies, from initial…
Added 8 hours ago
C
Power BI Developer
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Role Summary requires 2 to 3 days per week in North York, Ontario
Added 8 hours ago
TT
Senior DevOps Platform Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $90,000 to $100,000 CAD / year
- Full-time
We are seeking an experienced CI/CD Platform Engineer to support, maintain, and enhance enterprise Software Factory services and tools.
Added 8 hours ago
MI
Data Governance Lead , Canada
Mondelēz International
Toronto, ON · Business Unit Head Office Gladstone - Toronto, Canada
- Full-time
Join our Mission to Lead the Future of Snacking. Make It With Pride.

Wayfair

Machine Learning Scientist III - Customer Service AI

Toronto, ON, Canada

$211,914 to $225,158.5 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $211,914 to $225,158.5 CAD / year
Job type: Full-time
Apply by: Nov 28, 2026
Experience: Experience: Minimum 2+ years of experience with PhD, or 4+ years of industry experience with MS, or 6+ years of experience with a BS in a quantitative STEM field.
Posting language: English
Posted: Oct 29, 2026

Original job description

Who We Are

Wayfair is seeking a high-impact Machine Learning Scientist III to lead the research, technical strategy, and production deployment of next-generation Generative AI and agentic systems for Wayfair’s Customer Service organization.

In this role, you will bridge cutting-edge AI research and large-scale enterprise execution - architecting robust, multi-agent frameworks, proprietary domain-adapted LLMs, and end-to-end LLMOps infrastructure. You will be responsible for defining technical roadmaps, tackling high-ambiguity customer service challenges, mentoring junior scientists, and collaborating closely with engineering and product leadership. Success requires deep technical mastery of NLP and Generative AI, a demonstrated track record of taking complex AI systems to production at scale, and the executive presence to turn emerging AI capabilities into measurable business ROI and customer lifetime value.

What You’ll Do

Technical Leadership & Strategy: Help define the Generative AI roadmap and architecture for Customer Service Intelligence, identifying high-leverage opportunities to deploy agentic workflows, autonomous triage, and real-time agent copilot systems.
Advanced Research & System Design: Architect, fine-tune, and evaluate state-of-the-art foundation models (parameter-efficient fine-tuning, RLHF/DPO, domain-adapted pretraining) and agentic frameworks (multi-agent coordination, tool-use, structured reasoning).
Enterprise-Scale Production & LLMOps: Partner with Engineering and Core Platform teams to drive end-to-end ML lifecycle standards - including robust CI/CD, scalable inference optimization (vLLM, TensorRT-LLM, model quantization), latency/throughput profiling, and automated governance/guardrails.
Evaluation Frameworks & Governance: Design rigorous offline and online evaluation ecosystems (LLM-as-a-judge, custom benchmark datasets, semantic observability, red-teaming) to monitor factual consistency, safety, hallucination mitigation, and task completion in customer-facing workflows.
Cross-Functional Influence & Alignment: Serve as the technical authority across product managers, operations directors, legal/compliance, and engineering leaders, translating abstract business challenges into scalable technical implementations with defined ROI metrics.
Mentorship & Engineering Excellence: Set high standards for experimental rigor and code quality across the team; lead design reviews, mentor mid-level and junior scientists, and foster a culture of rapid, scientifically sound prototyping.
Applied Innovation & Advocacy: Keep Wayfair at the cutting edge by tracking developments in foundation model architectures, context-caching, vector search, and reasoning models, proactively running proofs-of-concept to identify disruptive technology before it commoditizes.

What You’ll Need

Experience: Minimum 2+ years of experience with PhD, or 4+ years of industry experience with MS, or 6+ years of experience with a BS in a quantitative STEM field.
Track Record of Impact: Proven history of taking complex AI/ML systems from early-stage ambiguity through architecture and production delivery at scale, directly driving top-line or operational efficiency metrics.
Generative AI & LLM Mastery: Deep expertise in transformer architectures, advanced Retrieval-Augmented Generation (RAG) topologies (hybrid search, hierarchical retrieval, query rewriting), fine-tuning paradigms (LoRA, QLoRA, DPO/RLHF), and prompt-chaining/agentic frameworks (LangChain, LangGraph, LlamaIndex, AutoGen).
Software Engineering & Infrastructure: Expert-level software development skills in Python, with clean production code standards, asynchronous programming, containerization (Docker, Kubernetes), distributed training/inference, and modern cloud ML infrastructure (GCP Vertex AI, AWS SageMaker, Azure AI).
Production LLMOps & Guardrails: Hands-on experience architecting production-grade LLM monitoring pipelines - encompassing semantic caching, rate limiting, latency budgeting, cost tracking, drift detection, and safety/security filtering (PII masking, prompt injection defense).
System Design & Communication: Exceptional systems-thinking and stakeholder communication skills, capable of influencing senior cross-functional leadership, defending trade-offs in technical design reviews, and explaining complex AI mechanics to non-technical partners.

High-Value Differentiators

Experience with agentic AI systems and LLMOps principles for model lifecycle management, performance evaluation, and automated testing.
A PhD in AI or a strong publication record in top conferences and journals

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Technical Assistance?

For more information about applying for a career at wayfair, visit our FAQ page here.

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

The above base pay range may vary depending on location, job-related knowledge, skills and experience. For internal candidates, compensation determinations will be made based on your current position / level, your location, and the new position according to Wayfair's internal mobility policy. As you move through the internal interview process, your recruiter will be able to provide additional details regarding your specific compensation. Please note, the terms of internal offers, including the salary offered, are not negotiable.

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More about this job

Responsibilities

Lead the research, technical strategy, architecture, and production deployment of generative AI and agentic systems for customer service, including foundation models, multi-agent workflows, and LLMOps infrastructure. Establish evaluation and governance practices, align technical solutions with business outcomes, and mentor scientists while collaborating with product, engineering, operations, and compliance teams.

Requirements

Requires at least 2 years of experience with a PhD, 4 years with a master's degree, or 6 years with a bachelor's degree in a quantitative STEM field, plus a record of delivering complex AI/ML systems at scale. Candidates should have deep expertise in LLMs, RAG, fine-tuning, agent frameworks, Python, production infrastructure, LLMOps, safety guardrails, and cross-functional technical communication.

Skills

Generative AI
Machine Learning
Natural Language Processing
Large Language Models
Retrieval-Augmented Generation
Agentic AI Systems
Python
Model Fine-Tuning
LLMOps
Distributed Training And Inference
Cloud ML Infrastructure
Evaluation And Governance
System Design
Stakeholder Communication
Technical Leadership
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Machine Learning
Natural Language Processing
Transformer Architectures
Foundation Models
Large Language Models
Retrieval-Augmented Generation
Hybrid Search
Hierarchical Retrieval
Query Rewriting
LoRA
QLoRA
RLHF
DPO
LangChain
LangGraph
LlamaIndex
AutoGen
Python
Docker
Kubernetes
GCP Vertex AI
AWS SageMaker
Azure AI
vLLM
TensorRT-LLM
Model Quantization
LLMOps
Semantic Caching
Prompt Injection Defense

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Work requirements

Jobs in Canada