Find work in Canada.

321,132 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 33 mins ago
Director, Water and Wastewater Infrastructure Management
Region of Waterloo
Kitchener, ON
Added 2 hours ago
GS
Senior Structural Engineer - Buildings & Infrastructure
Grade Separation Systems
Kingston, ON
- Full-time
Art Engineering Inc. (AEI) is currently seeking a Senior Structural Engineer to join our growing team in Kingston, Ontario. AEI strongly encourages the applications of potential candidates…
Added 2 hours ago
C
Building Operator
CBRE
Vancouver, BC
- Full-time
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask…
Added 2 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
Our purpose is to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence. We guide customers through the evolving digital…
Added 2 hours ago
HR
QA/QC Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Artificial intelligence may be used in the screening or assessment process for this role.
Added 2 hours ago
IG
Facility Technician
Insight Global
Quebec, QC · Greater Quebec City Metropolitan Area
- $35 to $40 CAD / hour
- Contract
…Participates in testing and commissioning activities. Advises engineer partners or project management colleagues on project scope process or execution methodology. Presents for review and…
Added 2 hours ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…
Added 3 hours ago
A
Controls Engineer
Actalent
Vancouver, BC
- $38 to $50 CAD / hour
- Full-time
The Controls Engineer / Electrical Technologist is responsible for the design, programming, commissioning, and support of industrial control systems used in complex engineered equipment and…
Added 3 hours ago
A
Hardware Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Added 3 hours ago
A
Power Electronics Design Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Added 3 hours ago
G
Browser Security Engineer Intern, (Winter 2026)
GeoComply
Vancouver, BC
- Internship
Added 3 hours ago
V
Senior Specialist Engineer
Vale
Canada
- Full-time
…From energy to aerospace, batteries to magnets, robotics to artificial intelligence, a secure and responsible supply of critical minerals is fundamental to power modern technologies. And at…
Added 3 hours ago
G
Lead Structural Engineer
GHD
Calgary, AB
- Full-time
The use of artificial intelligence (AI) in recruiting is just getting started and may be used during the process to improve efficiency and fairness. Your application may be reviewed by both…
Added 3 hours ago
J
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 4 hours ago
I
Senior/Principal Custom IC Layout Engineer
Inpho
Ottawa, ON · Kanata, ON
- $140,000 to $190,000 CAD / year
- Full-time
Inpho may use Artificial Intelligence (AI) to support aspects of the recruitment process, including candidate screening and assessment. All final hiring decisions are made by Inpho’s Hiring…
Added 4 hours ago
I
Custom IC Layout Engineer
Inpho
Ottawa, ON · Kanata, ON
- $90,000 to $140,000 CAD / year
- Full-time
Inpho may use Artificial Intelligence (AI) to support aspects of the recruitment process, including candidate screening and assessment. All final hiring decisions are made by Inpho’s Hiring…
Added 4 hours ago
OG
Professional Services Engineer
Onni Group of Companies
Vancouver, BC
- Full-time
Grey Owl is looking for an experienced Professional Services Engineer to design, implement, migrate, and improve technology environments for our clients.
Added 4 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 5 hours ago
PU
Staff Software Engineer – Data Systems
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
Purpose Unlimited is building the financial products infrastructure that puts clients first, and we need the engineer who ensures that infrastructure is fast, reliable, and built to evolve.…
Added 5 hours ago
EC
Health and Safety Advisor - Atlantic Canada
EnGlobe Corp.
Dartmouth, NS
- Full-time
Artificial intelligence tools may be used in the screening or selection of applications for this role.
Added 5 hours ago
EC
Environmental Scientist Project Manger
EnGlobe Corp.
Toronto, ON · Etobicoke, Ontario
- Full-time
Artificial intelligence tools may be used in the screening or selection of applications for this role.
Added 5 hours ago
AM
Principal ASIC Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 5 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
Added 5 hours ago
AM
Senior Software Engineer - GPU Profiling Tools
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
Added 5 hours ago
X
Data Center Infrastructure Engineer
Xanadu
Toronto, ON
- Full-time
Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but…

Closed listing

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

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: Canada: the pay range for this role is $248,000 to $341,000 per year.
Job type: Full-time
Closing date: 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

Similar jobs hiring now

Added 6 days ago
Staff Data Scientist, Applied ML
Jobber · Remote, Canada
Added 11 days ago
Staff Marketing Technology Engineer
Absorb · Remote, Canada
Added 12 days ago
Senior AI Engineer - AI Platform & ML Engineering
Aviso Wealth · Remote, Canada
$135,000 to $150,000 CAD / year
Added 21 days ago
Design Systems Designer
Genius AI · Remote, Canada

Search current openings

Original job description

Archived listing. The details below describe a past opening.

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.

About employer

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

Report this job