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Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Data Engineer - Analytics Platform

Kitchener, ON ยท On-site

CA$129K - CA$178K/yr

The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without ...

... Systems & Data at Faire. The right candidate will combine deep technical fluency across finance ... You will be central to how Faire plans, reports, and operates the business - and to ensuring we are ...

About this role Lead and scale Faire's core value programs - including Faire Source (Fulfilled by ... Data-driven and analytical - Can break down complex economic and operational systems into their ...

... and deliver data-backed strategies that enable Faire to innovate while keeping our customers safe. You'll spend most of your time on strategic work while mentoring others and elevating team ...

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Senior Staff Machine Learning Platform Engineer

Senior Staff Machine Learning Platform Engineer

Faire

Kitchener, ON โ€ข On-site

CA$248K - CA$341K/yr

Other

Posted 10 days ago


Job description

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. ย This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

  • Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance
  • Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
  • Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
  • Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
  • Optimize performance, reliability, and cost of the ML platform
  • Evaluate and integrate emerging Databricks features
  • Stay ahead of the curve by engaging with the latest developments in machine learning and AI
  • Serve as senior ML technical advisor to Faire's data science and production engineering teamsย 
  • Represent Faire at ML conferences and meetups
  • Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

  • 10-12 years of experience building and improving large-scale ML or data platforms.
  • A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
  • Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
  • Proven ability to design systems that support multiple data science teams and production workloads
  • Strong background in distributed systems, ML infrastructure, and cloud architecture.
  • Demonstrated technical leadership across teams and orgs; ability to influence without authority
  • Experience integrating LLM workflows into enterprise platforms is a plus
  • Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.ย  For this role, you'll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, MLFlowย 

Big Data & Processing

Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL

Cloud & Infrastructure

AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform

Generative AI

Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $248,000 to $341,000 per year.ย 

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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.