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Added 10 mins ago
Q
FY27 Intern - AI Software Engineering Co-op - Canada (4 months)
Qualcomm
Toronto, ON
- Full-time
Improving developer tools, testing, automation, and engineering workflows
Added 53 mins ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
…API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet…
Added 53 mins ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
…API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet…
Added 1 hour ago
Q
FY27 Intern - AI Software Systems Co-op - Canada (4 months)
Qualcomm
Toronto, ON
- Full-time
Improving developer tools, testing, automation, and engineering workflows
Added 1 hour ago
S
Artificial Intelligence Engineer
Swoon
Toronto, ON
- Contract
Identify opportunities to leverage generative AI, machine learning, large language models (LLMs), and agentic AI to address business challenges.
Added 1 hour ago
O
Senior Software Developer (Bilingual)
OpenText
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- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 1 hour ago
O
Sr. Software Developer (Bilingual)
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- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 1 hour ago
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- Full-time
Hands-on experience rolling out generative AI tools such as Microsoft Copilot.
Added 1 hour ago
TC
Director of Information Technology, Full-Time
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- Full-time
Hands-on experience rolling out generative AI tools such as Microsoft Copilot.
Added 2 hours ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
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- Full-time
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Generative AI and agentic AI applied to cybersecurity;
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Vancouver, BC
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Montreal, QC
- Contract
Job Title: Backend Python Developer - GenAI Focus
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AI Developer
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Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
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Added 2 hours ago
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Toronto, ON
- $100,000 to $120,000 CAD / year
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AI Security and Generative AI Security• Large Language Models (LLMs) and AI/ML Security• AI Governance and Responsible AI.
Added 2 hours ago
AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
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Toronto, ON
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Added 2 hours ago
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Applied Generative AI experience for software development.
Added 2 hours ago
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Configuration Management Specialist
Capgemini Engineering
Montreal, QC
- Full-time
Added 2 hours ago
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Sr. Software Developer (Bilingual)
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Richmond Hill, ON
- Full-time
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Added 2 hours ago
TC
Director of Information Technology
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Hands-on experience rolling out generative AI tools such as Microsoft Copilot.
Added 2 hours ago
H
Senior WMS Implementation Engineer
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Canada
- $95 to $100 CAD / hour
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Added 2 hours ago
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Added 2 hours ago
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- Full-time
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Added 2 hours ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Expertise approfondie dans de nombreux sous-domaines de l'apprentissage automatique et de l'IA, notamment l'IA générative, l'IA agentique, les modèles de base et les modèles de référence,…

Wayfair

Machine Learning Scientist III - Customer Service AI

Toronto, ON, Canada

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

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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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