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Added 14 mins ago
XI
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 14 mins ago
S
Senior Technical Lead
Scalian
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Project Engineer or Technical Project Manager for hardware design projects (PCBs, RF, mixed-signal circuits, etc.) to join our team in the Montreal region (QC)!
Added 30 mins ago
EV
Technician, Mining
Elk Valley Resources
Elkford, BC
- $96,000 to $113,000 CAD / year
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 43 mins ago
AS
Project Manager
AgileGrid Solutions
Canada
- Full-time
…continuously pushes the boundaries of technology to deliver high-performance products that meet the evolving needs of its global clientele. The company fosters a collaborative and dynamic…
Added 43 mins ago
AS
Senior Software Engineer
AgileGrid Solutions
Canada
- Full-time
As a Senior Staff Software Engineer at Capital One Canada, you will play a pivotal role in orchestrating the development of innovative technology solutions aligned with our strategic…
Added 43 mins ago
AS
Lead Data Engineer
AgileGrid Solutions
Canada
- Full-time
As a Senior Developer in Data Engineering within the Financial Crime and Regulatory Projects team at National Bank, you will serve as a Data Analytics Specialist responsible for designing,…
Added 43 mins ago
EV
Technician, Mining
Elk Valley Resources
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 1 hour ago
Member of Technical Staff (Agents)
MLabs
Toronto, ON
The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos,…
Added 2 hours ago
GN
Senior Back End Engineer
Ground News
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you'll be working on the core systems that make Ground News tick and ready to serve millions of readers. You'll sit with our backend chapter and work with out…
Added 2 hours ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
The Senior Software Technical Specialist leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway…
Added 5 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 5 hours ago
A
Principal Network Engineer
Aviso
Vancouver, BC
- $135,000 to $145,000 CAD / year
- Full-time
We're looking to fill an opening for a Principal Network Engineer to join our Technology Ops & Support Partners team.
Added 6 hours ago
DN
Senior Staff Machine Learning Platform Engineer
Digital Nomad World
ON · Ontario, Canada
- Full-time
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…
Added 9 hours ago
MU
Electrical Maintenance Engineer
McGill University
Sherbrooke, QC
- Full-time
Reporting to the Director, Building Maintenance, the Electrical Maintenance Engineer provides technical leadership and expertise for the planning, operation, maintenance, renewal, and…
Added 11 hours ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Forward Deployed Engineer is Greenlight's most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions -…
Added 14 hours ago
TI
Senior Software Engineer
Thri5 Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer at Thri5, you'll play a key role in building and scaling our product. You'll own significant technical problems from design through production, working closely…
Added 14 hours ago
WI
Senior Technical Manager, Water Resources Engineering
WSP in Canada
Mississauga, ON
- Full-time
Based in Mississauga, Ontario, you will join our Southern Ontario Mine Water Team as a Senior Technical Manager, Water Resources Engineering - a leadership‑in‑practice role where your…
Added 14 hours ago
C
Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
The Applications Database Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs…
Added 15 hours ago
G
Demand Generation Manager
Guusto
Canada
- Full-time
This is a senior individual contributor role. Our Director of Growth Marketing will lead strategy and our rapidly-growing partner channel. You’ll keep the core engine running and improving,…
Added 17 hours ago
M&
Senior Controls Engineer
Mitchell & Associates
Brampton, ON
- Full-time
Review, modify, and improve PLC and HMI programs to support equipment reliability, safety, quality, cycle time, error proofing, and production performance.
Added 18 hours ago
A
Structural Engineering Graduate
AECOM
Kitchener, ON
- $65,000 to $75,000 CAD / year
- Full-time
Conducts structural engineering designs, calculations, sketches, diagrams, schematic drawings, and final working drawings under the supervision of an experienced engineer.
Added 18 hours ago
CN
Founding CTO
Clash Nexus AI
Oshawa, ON
- Full-time
Startup, founding engineer, technical lead, senior engineer, or CTO experience is highly preferred
Added 18 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
Our client is a leading Canadian financial institution seeking a senior AI Solution Architect to join its Solutions Architecture team. The organization is expanding its digital…
Added 18 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
Our client is a leading Canadian financial institution seeking a senior AI Solution Architect to join its Solutions Architecture team. The organization is expanding its digital…
Added 18 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
Our client is a leading Canadian financial institution seeking a senior AI Solution Architect to join its Solutions Architecture team. The organization is expanding its digital…

Digital Nomad World

Senior Staff Machine Learning Platform Engineer

ON, Canada
Ontario, Canada, Canada

Canada: the pay range for this role is $248,000 to $341,000 per year. · Full-time

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Job details

Pay: Canada: the pay range for this role is $248,000 to $341,000 per year.
Job type: Full-time
Apply by: Nov 4, 2026
Experience: 10-12 years of experience building and improving large-scale ML or data platforms.
Posting language: English
Posted: Oct 5, 2026

Original job description

Kubernetes Machine Learning Python

Remote eligibility: Ontario, Canada.

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: This role can also be performed remotely for candidates located in Ontario, Canada.

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. 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 teams
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. For this role, you’ll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, MLFlow

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.

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.

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 (https://bit.ly/faire-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)

Originally listed on We Work Remotely.

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More about this job

Responsibilities

Define and evolve the architecture and standards for Faire’s machine learning platform, including training, inference, governance, MLOps, experimentation, and observability. Lead cross-functional platform initiatives, optimize scalability, reliability, and cost, advise data science and production engineering teams, and mentor ML engineers.

Requirements

Requires 10–12 years of experience building or improving large-scale machine learning or data platforms, along with deep expertise in Databricks lakehouse architecture, Unity Catalog, Workflows, and cost optimization. A degree in computer science, engineering, statistics, or a related technical field is preferred, and candidates should bring strong distributed systems and cloud architecture experience plus demonstrated technical leadership.

Skills

Machine Learning Platform Architecture
Databricks
Unity Catalog
MLOps
Distributed Systems
Cloud Architecture
Python
SQL
Kotlin
PyTorch
PySpark
MLflow
Apache Spark
Delta Lake
Kubernetes
Machine Learning Governance

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Platform
Databricks
Lakehouse Architecture
Unity Catalog
Databricks Workflows
MLOps
CI/CD
Spark
Delta Lake
MLflow
Python
SQL
Kotlin
PyTorch
PySpark
Kafka
Snowflake
Fivetran
Apache Iceberg
Datadog
Airflow
CockroachDB
MySQL
AWS
Amazon S3
SageMaker
Kubernetes
Docker
Terraform

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