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Computer system analyst • kitchener on
Senior Backend Engineer - Ads ML System
FaireKitchener, Region of Waterloo, CAJPC -1454 - Service Desk Analyst
ITS GlobalOntario- New!
System Design Engineer
Insight GlobalCambridge, ON, CanadaSystem Engineering Lead
McIntosh PerryOntario, CACNC (computer numerical control) machinist
T1 MANUFACTURINGKitchener, ON, CAEngineer - Software Engineering for AI System
HuaweiWaterloo, Region of Waterloo, CASupply Chain Analyst
CscmpCambridge, Region of Waterloo, CAResearcher - Runtime Assurance
Huawei CanadaWaterloo, Region of Waterloo, CA- Promoted
Computer programming Private Tutoring Jobs Breslau
SuperprofBreslau, Canada- Promoted
SDK Developer - Unity C++ and Computer Graphics
Mawari TechnologiesWaterloo, ON, CanadaGlobal QA Analyst : Medical Devices & Regulatory QMS Lead
Intellijoint Surgical IncKitchener, Region of Waterloo, CAHealth Information System Project Coordinator (Hospital)
Cambridge Memorial HospitalCambridge, Region of Waterloo, CAGlobal QA & Regulatory Analyst — Medical Devices
Intellijoint Surgical Inc.Kitchener, Region of Waterloo, CAInterface (System) Analyst - Integration Technologies
Grand River HospitalKitchener, Region of Waterloo, CAData & Systems Analyst, Co-op
Aecon Group Inc.Cambridge, Region of Waterloo, CASenior Informatica Cloud DI Infra Analyst — Hybrid
Sun LifeKitchener, Region of Waterloo, CASenior Manager – System of Quality Management
KPMG CanadaKitchener, Region of Waterloo, CA•Senior IT Business Analyst – Salesforce Integration (WTL, ON)
Recrute ActionWaterloo, ON, caMaterials Scheduler & Inventory Analyst — Flexible Hours
WoodbridgeKitchener, Region of Waterloo, CA- Burnaby, BC (from $ 82,000 to $ 127,740 year)
- Halifax, NS (from $ 65,412 to $ 120,000 year)
- High Level, AB (from $ 71,220 to $ 118,250 year)
- Niagara Falls, ON (from $ 48,750 to $ 115,927 year)
- Edmonton, AB (from $ 82,883 to $ 113,872 year)
- Bradford West Gwillimbury, ON (from $ 81,206 to $ 113,872 year)
- London, ON (from $ 78,024 to $ 113,100 year)
- Toronto, ON (from $ 75,263 to $ 112,925 year)
- Old toronto, ON (from $ 76,050 to $ 112,015 year)
- Oakville, ON (from $ 80,388 to $ 106,075 year)
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Senior Backend Engineer - Ads ML System
FaireKitchener, Region of Waterloo, CA- Full-time
About Faire
Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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 that small businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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.
About this Role
Faire’s Ads teams are building the next generation of marketplace intelligence — powering personalized discovery and efficient ad delivery for our brands and retailers. Our systems connect the right products with the right buyers through intelligent pricing, auction mechanisms, and large-scale retrieval and ranking pipelines.
As a Senior Backend Engineer, you’ll take ownership of the core algorithms and infrastructure that shape the way our ads and search systems decide what to show, to whom, and at what price. You’ll partner with Data Science and Infrastructure teams to design training workflows, deploy models, and operate low-latency inference services, owning the end-to-end model lifecycle (feature generation → training → evaluation → deployment → monitoring) for Ads retrieval, ranking, and pricing.
This role offers a rare opportunity to shape both product and technical direction in a fast-moving, high-impact area at Faire.
What You’ll Do
- Own critical services within our Kotlin-based backend, driving reliability, scalability, and low-latency performance across billions of ad and search events.
- Design and evolve large-scaleretrieval, ranking, and pricing systems to optimize relevance, performance, and marketplace efficiency.
- Develop auction-based delivery systems and scoring pipelines that balance advertiser ROI with retailer experience.
- Collaborate cross-functionally with Data Science to prototype, evaluate, and productionize machine learning models and their training workflows.
- Build and operate online inference services (e.g., feature access, real-time scoring, canary / shadow deploys) with clear latency and reliability SLOs.
- Mentor engineers and contribute to team best practices in design reviews, performance tuning, and system architecture.
We’re Excited About You Because You Have
Technologies We Use and Teach
Salary Range
Canada : the pay range for this role is $156,000 - $214,500per 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 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on 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.
Applications for this position will be accepted for a minimum of 30 days from the posting date.
Why you’ll love working at Faire
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)
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 (https : / / bit.ly / faire-form)
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
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