Jobs in Canada

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Added 23 days ago
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ModiFace Sr. AI Researcher
L'Oréal
Toronto, ON
- Full-time
Exceptionalproficiencyin Python, coupled with mastery of one or more leading deep learning frameworks (e.g.,PyTorch, TensorFlow).
Added 23 days ago
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IT Systems Engineer
Baseten
Toronto, ON
- $175,000 to $225,000 CAD / year
- Full-time
This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in person
Added 23 days ago
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AI Engineer (Agentic AI / AWS Bedrock)
Accion Labs
Canada
- Contract
We are seeking an experienced AI Engineer with strong hands-on expertise in building, deploying, and monitoring production-grade AI agents and Generative AI solutions using AWS technologies.
Added 23 days ago
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
…those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued…
Added 23 days ago
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Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- Full-time
…those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued…
Added 23 days ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
Solid experience with Python backend development and familiarity with microservices architecture
Added 23 days ago
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Machine Learning Resident - Client: Trufla (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…to apply your skills to address high-stake business problems with strict liability constraints, we want to talk to you. You will have the opportunity to innovate on systems that combine…
Added 23 days ago
WT
Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of hands‑on experience in building scalable applications, optimizing databases, and developing automation solutions. The ideal…
Added 23 days ago
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Generative AI Consultant
Sia
Montreal, QC
- Full-time
…helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations…
Added 23 days ago
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Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
…build intelligent, AI-driven analytical experiences that scale with the complexity of our data and accelerate decision-making across the organization. Specifically, you…
Added 23 days ago
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AI and Quantum Scientist Co-op
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 23 days ago
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Solution Designer Lead
Insight Global
Toronto, ON
- Contract
Insight Global is seeking an experienced Solution Design Lead with a strong blend of hands-on engineering expertise and technical leadership experience to lead the design and delivery of…
Added 23 days ago
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AI/ML with Snowflake and or Databricks
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 23 days ago
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AI LLM Senior Analyst
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 23 days ago
HG
Model Risk Management with Financial Crime Compliance (FCC)
Hallmark Global Solutions Ltd
Toronto, ON
- Full-time
We are looking for a Risk model developer to join us in Toronto
Added 23 days ago
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Senior Embedded Systems Engineer
Taiv
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- Full-time
…more fun, engaging, profitable, and easier to manage, starting with bars and restaurants. We’ve built proprietary tech that uses computer vision to watch live TV and improve the content…
Added 23 days ago
Software Developer, Mobile (Flutter)
HTS Engineering Ltd.
Toronto, ON
The Software Developer, Mobile (Flutter) will be responsible for the design, development, testing, release, and ongoing support of KORE’s cross-platform mobile applications built with…
Added 23 days ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 23 days ago
FS
DSP Designer
Fidus Systems
Canada
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 23 days ago
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Senior Machine Learning Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
Working primarily with Python and PyTorch, you will contribute across the complete ML lifecycle, from data analysis and feature preparation through experimentation, training, evaluation,…
Added 23 days ago
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AI/ML Engineer
neurohire.ai
Remote, Canada
- $60,000 to $80,000 CAD / year
- Full-time
- Remote
…expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI…
Added 23 days ago
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Computer Vision Researcher / Developer
EAIGLE
Markham, ON
- Full-time
Strong Python skills, with hands-on experience in PyTorch and/or TensorFlow and OpenCV.
Added 23 days ago
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Sr Staff AI Software Engineer
Qualcomm
Markham, ON
- Full-time
Experience with Python numpy and deep learning frameworks such as TensorFlow, PyTorch
Added 24 days ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 24 days ago
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Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
The Lab's mandate is simple: find the highest-value problems our customers face, prove solutions quickly with working prototypes built on real operational energy data, and take what works…

Wayfair

Machine Learning Scientist I

Toronto, ON, Canada

$132,440 to $145,684 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $132,440 to $145,684 CAD / year
Job type: Full-time
Work location: This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Experience: 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Posting language: English
Posted: Oct 21, 2026

Original job description

Salary Range: $132,500 - $150,700 per year

Location: Toronto, ON

This job posting is for an existing vacancy. Please click here/refer to Wayfair’s Career Page for information about how Wayfair uses AI to enhance its recruiting and hiring processes.

This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Who We Are

Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams:sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative.

What You’ll Do

Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
Drive measurable business value collaborating with business teams to change the course of Wayfair
Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops

What You’ll Need

Basic Qualifications

1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Master’s degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of experience
Proficient knowledge of structured programming language(s) (e.g. Python)
Experience with languages and tools relevant to data science, including Pytorch/TF, Github,Pyspark, Docker, SQL, GCP
Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research

Preferred Qualifications

Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
An affinity for data along with experience leveraging statistics and regression analysis
Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
Familiarity with data structures, algorithms, OOP, and programming in a team environment
Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
Ability to thrive in a dynamic environment where there can be degrees of ambiguity
Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision
Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges
Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data

Why You’ll Love Wayfair

Benefits & Perks - Canada

In addition to provincial healthcare, Wayfair offers Canadian employees additional extended health care through Desjardins.
Global Traveler Health Insurance through GeoBlue.
24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.
Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.
Registered Retirement Savings Plan with day one vesting.
Paid Parental Leave and Surrogacy & Adoption Reimbursement.
Tuition Reimbursement.
Personalized financial planning through LearnLux.
Wayfair Employee Discount.
Gym/Fitness Discounts (including Peloton, GoodLife Global ClassPass).
Exclusive access to thousands of perks & discounts through Perkopolis and BenefitHub.
Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

Purpose & Inclusion At Wayfair

At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility

At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.

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.

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More about this job

Responsibilities

Own the machine learning lifecycle, from developing and testing models to deploying them at scale and measuring their business impact. Analyze data to guide business decisions, collaborate with scientists and engineers on maintainable solutions, and explore new tools and techniques for customer and supplier experiences.

Requirements

Candidates need 1–3 years of transferable experience and either a master’s degree in a quantitative field or a bachelor’s degree in a quantitative field plus at least one year of experience. They should have programming and data science tool proficiency, strong communication and learning skills, and familiarity with machine learning methods; experience with LLMs, production deployments, and scalable data pipelines is preferred.

Skills

Machine Learning
Data Science
Python
PyTorch
TensorFlow
PySpark
Docker
SQL
Google Cloud Platform
Large Language Models
Retrieval-Augmented Generation
Natural Language Processing
Data Engineering
Statistical Analysis
Regression Analysis
Software Development

Benefits

Extended Health Care
Global Traveler Health Insurance
Mental, Financial, Physical, And Emotional Wellbeing Support
Life Insurance
Accidental Death And Disability Insurance
Paid Parental Leave
Surrogacy And Adoption Reimbursement
Tuition Reimbursement
Personalized Financial Planning
Employee Discount
Gym And Fitness Discounts
Perks And Discounts
Charitable Donation Matching
Paid Volunteer Time Off

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Quantitative Modeling
Python
PyTorch
TensorFlow
GitHub
PySpark
Docker
SQL
Google Cloud Platform
Supervised Learning
Unsupervised Learning
Recommendation Systems
Reinforcement Learning
Deep Learning
Large Language Models
GPT
BERT
Transformers
Retrieval-Augmented Generation
Natural Language Processing
Regression Analysis
Data Visualization
CI/CD
Data Pipelines
Object-Oriented Programming
Data Structures And Algorithms
Model Deployment
Statistical Analysis

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Jobs in Canada