Jobs in Canada

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Added 43 mins ago
B
Automation Project Manager
Boccard
Montreal, QC
- Full-time
Define the design with process team and validate the functional description and write functional analysis
Added 43 mins ago
N
Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Adapt best engineering practices, including the creation of clear functional specs, design documents, and test plans, while ensuring code hygiene and thorough testing.
Added 43 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Collaborate closely with cross-functional teams to define system requirements, debug complex issues, and evolve system architecture
Added 43 mins ago
N
Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
Adapt best engineering practices, including the creation of clear functional specs, design documents, and test plans, while ensuring code hygiene and thorough testing.
Added 1 hour ago
E
Développeur DevOps
Ericsson
Montreal, QC · Quebec, QC
- Full-time
Write, debug, and iterate on code alongside cross-functional teammates to deliver scalable and efficient software.
Added 1 hour ago
AC
Accounts Payable Clerk
Aston Carter
Richmond, BC
- $50,000 to $60,000 CAD / year
- Full-time
…knowledge who enjoys working with numbers, systems, and cross-functional teams in a collaborative office…
Added 1 hour ago
AC
Human Resource & Benefits Analyst
Aston Carter
Vaughan, ON
- $29 to $32 CAD / hour
- Contract
Support Oracle HRIS implementations and global rollouts, including configuration support, testing, and post-go-live stabilization.
Added 1 hour ago
DN
Senior Staff Machine Learning Platform Engineer
Digital Nomad World
ON · Ontario, Canada
- Full-time
…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…
Added 2 hours ago
LC
Strategic Analytics Consultant
Langara College
Canada
- Full-time
…provides ongoing support and training to end users and designated functional areas. In addition, in collaboration with stakeholder groups, IT, and systems vendors, is responsible for the…
Added 2 hours ago
LC
Strategic Analytic Coordinator
Langara College
Canada
- Full-time
Assist with bi-annual releases, including analysis of impacts of new functionality, testing, integrations and cross-functional up and downstream analysis.
Added 3 hours ago
A
Mécanicien de prévol / Preflight Mechanic
Airbus
Montreal, QC
- Full-time
Added 3 hours ago
MF
Technical Lead
MD Financial Management | Gestion financière MD
Montreal, QC
- Full-time
…guiding developers through solution design, implementation, testing, release, production support, and modernization…
Added 5 hours ago
GLP Laboratory Technician - Chemistry
University of Guelph
Guelph, ON
Coordinating weekly testing schedules within the team
Added 5 hours ago
ENTERPRISE APPLICATION TECH SPECIALIST
City of Toronto
Toronto, ON
…architectures including feasibility studies, analysis, design, testing, implementation and maintenance for City application environments such as websites, document management/data…
Added 5 hours ago
M
Senior Manager, Organic Growth
Mistplay
Toronto, ON
- $120,000 to $165,000 CAD / year
- Full-time
This is a highly cross-functional builder role for someone who thinks like a growth marketer, operates with the rigor of a performance marketer, and is energized by cracking growth problems…
Added 7 hours ago
SM
Power Builder Developer - 29954-RFR-DTS-074
S M Software Solutions Inc
Winnipeg, MB
- Contract
Reviews system and integration testing functions.
Added 7 hours ago
SM
Power Builder Developer - 29954-RFR-DTS-074
S M Software Solutions Inc
Winnipeg, MB
- Contract
Reviews system and integration testing functions.
Added 7 hours ago
SM
Power Builder Developer - 29954-RFR-DTS-074
S M Software Solutions Inc
Winnipeg, MB
- Contract
Reviews system and integration testing functions.
Added 7 hours ago
SM
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
Toronto, ON
- Internship
Work in a hybrid agile (e.g. combination of waterfall and agile methods: scrum, extreme programming etc.) cross-functional team environment to provide leadership and guidance in developing,…
Added 7 hours ago
SM
RQ11431 - Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Update/Create Functional Design Documentation for the Solution.
Added 7 hours ago
SM
RQ11431 - Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Update/Create Functional Design Documentation for the Solution.
Added 7 hours ago
SM
Software Developer – Intermediate - RQ11490
S M Software Solutions Inc
Toronto, ON
- Internship
…solutions, troubleshooting technical issues, and collaborating with functional and technical teams throughout the Software Development Life…
Added 7 hours ago
SM
Solutions Designer – Senior - RQ11671
S M Software Solutions Inc
Toronto, ON
- Internship
Experience designing detailed functional and technical requirements for new and existing business solutions.
Added 7 hours ago
SM
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
Toronto, ON
- Internship
Work in a hybrid agile (e.g. combination of waterfall and agile methods: scrum, extreme programming etc.) cross-functional team environment to provide leadership and guidance in developing,…
Added 7 hours ago
SM
RQ11431 - Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Update/Create Functional Design Documentation for the Solution.

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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