Jobs in Canada

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Added 4 months ago
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Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- Full-time
Added 4 months ago
Manager, Small Business Collections (Hybrid)
Enova International
Quinte West, Ontario
…that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class…
Added 2 months ago
Software Engineer - Retailer Experience & Growth - Fullstack, Backend or Frontend
Faire
Toronto, ON · Kitchener, ON
…offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town -…
Added 2 months ago
Staff Software Engineer - UI Platform
Okta
Toronto, ON
Shape a culture of continuous learning by proactively sharing knowledge, mentoring Senior Engineers, and establishing best practices.
Added 4 months ago
Développeur·euse principal·e de données//Senior Data Developer
Plusgrade
Montreal, Quebec
Plusgrade's data platform powers decisions and machine learning models for the biggest travel brands in the world, and we need someone ready to own the evolution of this high-scale…
Added 4 months ago
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Systems Architecture, Senior to Staff – Agentic AI
Qualcomm
Markham, Ontario
- Full-time
Leverage experience in DSP, machine learning algorithms, SoC hardware and computer architecture concepts to develop proposals to address system Edge-AI requirements. Strong knowledge of…
Added 3 months ago
CO
Senior Staff Software Engineer - Mobile(Android)
Capital One
Toronto, Ontario
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…
Added 4 months ago
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Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud…
Added 5 months ago
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Senior Applied Scientist, Parts Intelligence & Inventory Optimization
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
We're looking for a Senior Applied Scientist to own the intelligence layer behind our Parts Agent - one of the most strategic bets on our Inventory & EAM roadmap. The agent sits on top of a…
Added 3 months ago
CO
Senior Staff Software Engineer
Capital One
Toronto, Ontario
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…
Added 2 months ago
Senior QA Automation Engineer
Tubi - Canada
Toronto, ON
Experience testing machine learning-driven streaming features such as recommendation systems, ad targeting, or automated metadata tagging.
Added 4 months ago
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Lab and Workshop Technical Lead
ARC'TERYX
Vancouver, British Columbia
- Full-time
Partnering with the Senior Director, Research and Engineering, and Advanced Concepts leadership to define strategy and deliver execution for creation and testing environments
Added 5 months ago
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Senior Research Scientist, Machine Learning (BioFM)
Deep Genomics
Toronto, Ontario
- Full-time
We are seeking an exceptional and creative Senior/Staff Machine Learning Scientist to lead and innovate within our core AI research team, specifically focusing on the creative building of…
Added 3 months ago
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Senior Manager, Data Engineering
Moneris
Remote, Canada
- Full-time
- Remote
…advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence initiatives. Working closely with architecture, governance, security, and…
Added 2 months ago
Senior Machine Learning Engineer
Tubi - Canada
Toronto, ON
We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced…
Added 2 months ago
VP / Director, ML Engineering
Tubi - Canada
Toronto, ON
The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle…
Added 3 months ago
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Lead Phyton and Generative AI Engineer- Vice President
Citi
Remote, Canada
- Full-time
- Remote
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services Tech AI…
Added 4 months ago
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Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
…enterprise applications that combine predictive analytics, machine learning, generative AI, agentic AI, and computer vision directly within business workflows. Our AI Centre of Excellence…
Added 4 months ago
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Director, Data Science
Mastercard
Vancouver, British Columbia · Toronto, Ontario
- Full-time
The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support Mastercard’s Identity and risk products…
Added 4 months ago
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AI Engineer - Assistant Vice President
Citi
Remote, Canada
- Full-time
- Remote
…Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development…
Added 3 months ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, Ontario
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…
Added 4 months ago
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Project and Release Manager - Canada
DataVisor
Remote, Canada
- Full-time
- Remote
…laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to…
Added 4 months ago
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Senior Manager, IT Risk Assurance & Automation
Vancity
Vancouver, British Columbia
- Full-time
Exposure to emerging technologies such as machine learning or advanced analytics
Added 4 months ago
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Future Opportunities: Sr Software Developer - Platform Engineering
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
Data Platforms: You build the infrastructure that powers data, analytics, and machine learning across the company, including data ingestion pipelines and orchestration, large-scale data…
Added 2 months ago
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Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…

Faire

Software Engineer - Retailer Experience & Growth - Fullstack, Backend or Frontend

Toronto, ON, Canada
Kitchener, ON, Canada

Canada: the pay range for this role is $129,500 - $178,000 per year.

Apply on boards.greenhouse.io About employer

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Job details

Pay: Canada: the pay range for this role is $129,500 - $178,000 per year.
Experience: 3+ years of professional software engineering experience
Posting language: English
Posted: Sep 3, 2026

Original job description

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Note: We have fullstack, backend and frontend open roles across product teams in Growth that are being hired through this job posting - so please apply if you are in either role.

Why Growth at Faire?

Growth at Faire is different from growth at most companies.

We're not optimizing clicks on ads or chasing short-term engagement metrics. We're helping independent retailers discover products they love, build stronger businesses, and compete in an increasingly challenging retail landscape.

As a Growth Engineer, you'll work on some of Faire's most important customer journeys - from a retailer's first interaction with Faire through long-term engagement and success on the platform. You'll tackle complex product challenges involving discovery, onboarding, activation, retention, and marketplace dynamics.

You'll operate as a true product engineer, partnering closely with Product, Design, Data Science, Analytics, and Marketing to identify opportunities, launch experiments, and measure outcomes. The team moves quickly, but with the scale and complexity of a global marketplace serving hundreds of thousands of businesses.

This role offers a rare combination of customer impact, business impact, and technical ownership. You'll see the results of your work directly in the experience retailers have on Faire and in the growth of the businesses we serve.

About this role:

Faire is helping independent retailers thrive in a world increasingly dominated by large chains and marketplaces. Every day, hundreds of thousands of retailers use Faire to discover unique products, connect with brands, and grow their businesses.

As a Senior Engineer on our Growth team, you'll build products and experiments that directly influence how retailers discover, adopt, and engage with Faire. Your work will sit at the intersection of product, engineering, data science, design, and marketing, giving you an unusual level of visibility into both customer outcomes and business impact.

Growth is one of Faire's most important strategic areas. You'll identify opportunities, develop hypotheses, launch experiments, and use data to determine what works. Whether you're improving onboarding, increasing engagement, driving retention, or helping retailers realize value faster, you'll see the results of your work reflected in meaningful business metrics.

This is an ideal role for engineers who enjoy combining technical excellence with product thinking. You'll have significant ownership, move quickly from idea to launch, and help shape the future of one of Faire's most important product areas.

What you'll do:

Own high-impact initiatives that improve retailer acquisition, activation, engagement, and retention
Design, build, and iterate on experiments that influence key business outcomes
Partner closely with Product, Design, Data Science, Analytics, and Marketing to identify growth opportunities and execute on them
Collaborate with Marketing to optimize campaigns, paid spend, and marketing tech
Use data to understand customer behavior, evaluate experiment results, and guide future investments
Build scalable systems and product experiences that support Faire's continued growth
Contribute to technical strategy while maintaining a high bar for engineering quality, performance, and reliability

What success looks like:

Within your first 6–12 months, you will:

Launch and iterate on multiple growth experiments
Become a trusted partner to product, design, and data science stakeholders
Improve one or more key retailer growth metrics
Lead a significant initiative from concept through launch and measurement
Influence the roadmap and strategy for retailer growth at Faire

Qualifications:

We're looking for engineers who are excited about building products that create measurable customer and business impact.

You may be a great fit if you have:

3+ years of professional software engineering experience
Strong experience building backend systems or modern frontend applications
A track record of shipping customer-facing products and driving meaningful outcomes
Excellent problem-solving and collaboration skills
Comfort working in fast-moving, highly cross-functional environments
Curiosity about customer behavior, experimentation, and data-informed decision making
Strong product instincts - you think about the user and the business, not just the implementation.

Bonus points for:

Experience with growth, experimentation, marketplace, or consumer product teams
Experience designing and analyzing A/B tests
Familiarity with product analytics and experimentation platforms
Experience working on products at significant scale
Experience working with Marketing or Paid Spend Optimization

Don't meet every qualification? We know great candidates come from many different backgrounds and experiences. If you're excited about the role, we'd encourage you to apply.

Technologies we use & teach:

Experience with similar technologies is welcome - you don’t need experience with our exact stack.

Frontend development (e.g., React, TypeScript/JavaScript, modern UI frameworks, performance optimization).
Backend: Kotlin, Java, Guice, Jersey, Hibernate
Datastores: MySQL, CockroachDB
Infrastructure & Cloud: AWS (EC2, S3, RDS), Docker
APIs & Data: HTTP, REST, JSON, Protocol Buffers
Experimentation & Growth: Feature flagging systems, A/B testing frameworks, traffic ramping tools

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ()

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Apply on boards.greenhouse.io About employer

More about this job

Responsibilities

Build and scale systems for retailer acquisition, onboarding, and engagement through experimentation and personalization. Collaborate with cross-functional teams to design reliable APIs and optimize user-facing experiences for conversion.

Requirements

Requires 3+ years of software engineering experience with proficiency in full-stack technologies like TypeScript, React, Kotlin, or Java. A bachelor's degree in Computer Science or equivalent experience is required, along with familiarity with A/B testing and data-driven decision making.

Skills

TypeScript
React
Kotlin
Java
A/B Testing
API Design
System Scaling
Data Analysis
Product Sense
Frontend Development
Backend Development
Full Stack Engineering
Experimentation
MySQL
AWS
Docker

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
JavaScript
React
Next.js
Kotlin
Java
Guice
Jersey
Hibernate
MySQL
CockroachDB
Jest
Cypress.io
Playwright
AWS
Docker
A/B Testing
Feature Flags
Retail Tech
Marketplace
Growth Engineering
Full Stack
API Design
Scalability
Personalization
Lifecycle Engagement
Data Science
Product Management
EC2
S3

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Work requirements

Jobs in Canada