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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 6 hours ago
DN
Senior Staff Machine Learning Platform Engineer
Digital Nomad World
ON · Ontario, Canada
- Full-time
Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Added 1 day ago
AM
Profiling Infrastructure Development Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Work closely with profiling tools teams and open-source code base
Added 1 day ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 1 day ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
…claim in pharma marketing content must trace to an approved source. Fair balance rules govern placement. All materials go through rigorous medical, legal, and regulatory review, which can…
Added 2 days ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 2 days ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 days ago
T
Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 days ago
GM
2027 Winter Co-op Data Engineering Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
Contributions to data-intensive open-source projects.
Added 2 days ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
We’re all-in on the cloud and we’re leaders in the adoption of open source, RESTful APIs, microservices, and containers. We build our own products and release them with a speed and agility…
Added 2 days ago
A
Profiling Infrastructure Development Engineer
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
Work closely with profiling tools teams and open-source code base
Added 2 days ago
CS
Senior Research Engineer - Inference ML
Cerebras Systems
Canada
- Full-time
…ACL, EMNLP, MLSys) or comparable contributions to widely used open-source projects or high-quality…
Added 2 days ago
Gestionnaire de projet, portefeuille de bâtiments publics / Project Manager, Public Buildings Portfolio
Tiree
Montreal, QC
…contribuerez à la réalisation de projets qui améliorent la performance des bâtiments, assurent la continuité des activités et renforcent la résilience à long terme des actifs…
Added 2 days ago
IG
Sr OpenShift Engineer
Insight Global
Toronto, ON
- $75 to $85 CAD / hour
- Contract
Provide guidance and knowledge sharing on configuring Red Hat OpenShift, open‑source tools, and related vendor technologies.
Added 2 days ago
T
Gestionnaire de projet, portefeuille de bâtiments publics / Project Manager, Public Buildings Portfolio
Tiree
Montreal, QC
- Full-time
…contribuerez à la réalisation de projets qui améliorent la performance des bâtiments, assurent la continuité des activités et renforcent la résilience à long terme des actifs…
Added 2 days ago
C
Backend Engineer
Creator.co
Vancouver, BC
- Full-time
…your choice of tooling, whether you prefer OpenAI, Anthropic, open-source models, or GitHub…
Added 2 days ago
M
AI Infrastructure Engineer
Mission.dev
Canada
- Full-time
As a founding Senior AI Infrastructure Engineer, you will report to the Chief Technology Officer to design and operate large-scale infrastructure for AI workloads on public cloud and…
Added 2 days ago
C
AI Fleet Platform Software Engineer
Cerebras
Toronto, ON
- Full-time
Publish and open source their cutting-edge AI research.
Added 2 days ago
WC
Ingénieur en test et conception mécanique / Test & Mechanical Engineer
Wabtec Corporation
Montreal, QC
- Full-time
Wabtec se concentre sur la performance qui stimule le progrès et libère le potentiel de nos clients en proposant des solutions de transport innovantes et durables qui font bouger et…
Added 2 days ago
T
Mainframe Software Engineer II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 days ago
IG
Platform Engineer
Insight Global
Toronto, ON · Greater Toronto Area, Canada
- $70 to $110 CAD / hour
- Contract
…share knowledge on configuring Red Hat OpenShift and related Open Source and vendor technologies. Assist with projects, planning, architecture designs, installation, configuration, and…
Added 2 days ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…spanning Anthropic, Azure OpenAI, other frontier models, and open source…
Added 2 days ago
KA
*HIRING BONUS* Licensed Aircraft Maintenance Engineer - Avionics
KF Aerospace
Richmond, BC
- $38.03 to $45.65 CAD / hour
- Full-time
Interpret flight test data in order to diagnose malfunctions and systemic performance problems
Added 2 days ago
KA
*HIRING BONUS* Licensed Aircraft Maintenance Engineer - Avionics
KF Aerospace
Kelowna, BC
- $38.03 to $45.65 CAD / hour
- Full-time
Interpret flight test data in order to diagnose malfunctions and systemic performance problems
Added 2 days ago
KA
*HIRING BONUS* Licensed Aircraft Maintenance Engineer- Mechanics
KF Aerospace
Richmond, BC
- $38.03 to $45.65 CAD / hour
- Full-time
Source appropriate tooling, test equipment or ground support equipment

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

Apply About employer

Applications open in a new tab.

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.

Apply 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

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Jobs in Canada

Member of Technical Staff (Agents)

Senior Staff Machine Learning Platform Engineer

Profiling Infrastructure Development Engineer

Principal Software Engineer

Senior Member of Technical Staff (Applied AI) (Toronto)

Principal Software Engineer

Data Platform Engineering Manager

Data Architect, Technology Data Management

2027 Winter Co-op Data Engineering Software Developer

Senior Manager, Software Engineering

Profiling Infrastructure Development Engineer

Senior Research Engineer - Inference ML

Gestionnaire de projet, portefeuille de bâtiments publics / Project Manager, Public Buildings Portfolio

Sr OpenShift Engineer

Gestionnaire de projet, portefeuille de bâtiments publics / Project Manager, Public Buildings Portfolio

Backend Engineer

AI Infrastructure Engineer

AI Fleet Platform Software Engineer

Ingénieur en test et conception mécanique / Test & Mechanical Engineer

Mainframe Software Engineer II

Platform Engineer

MLOps Engineer – Databricks (1896) $90-100hr

HIRING BONUS Licensed Aircraft Maintenance Engineer - Avionics

HIRING BONUS Licensed Aircraft Maintenance Engineer - Avionics

HIRING BONUS Licensed Aircraft Maintenance Engineer- Mechanics