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Added 2 mins ago
PR
Specialist, Reliability
Pernod Ricard
Windsor, ON · ON
- Full-time
Added 2 mins ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 16 mins ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team. This role is focused on ensuring the delivery of…
Added 17 mins ago
A
Senior Software Developer
Autodesk
Toronto, ON · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a Senior Full-Stack Staff Engineer to provide hands-on technical leadership across our web platform and digital experience ecosystem. This role will be responsible for…
Added 17 mins ago
Senior Transportation Planner / Traffic Engineer
GHD Group Pty Ltd
Toronto, ON
We are looking for a Transportation Planner / Traffic Engineer to join our Transportation Planning and Traffic Engineering team.
Added 17 mins ago
E
Project Manager, Distribution
EPCOR
AB · Edmonton, Alberta
- Full-time
Must be eligible for registration with APEGA as a Professional Engineer (P. Eng.) or Professional Licensee (P.L. Eng.).
Added 17 mins ago
BT
Software Developer
Botpress Technologies Inc.
Remote, Canada
- Full-time
- Remote
Proven experience as a Software Engineer or similar role in a fast-paced environment
Added 17 mins ago
Project Engineer
EBC Inc.
Delta, BC
We are seeking a detail-oriented and driven project engineer to join our team. The project engineer will be responsible for planning, coordinating, and overseeing projects within the…
Added 32 mins ago
TD
Manager, Solutions Architecture (Amazon Connect & Zendesk)
TELUS Digital
Remote, Canada
- $186,000 to $222,000 CAD / year
- Full-time
- Remote
AWS certifications (Solutions Architect, DevOps Engineer)
Added 32 mins ago
S
Senior Solution Engineer
Snowflake
Remote, Canada
- $162,000 to $212,625 CAD / year
- Full-time
- Remote
We are seeking a Senior Solution Engineer to drive complex customer solutions and close large deals. Working directly with sales teams and channel partners, you will be the technical expert…
Added 32 mins ago
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Staff Software Engineer, Program Structure & Trust
Vanta
Remote, Canada
- Full-time
- Remote
…enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational…
Added 32 mins ago
S
Software Engineer Co-op, Apps
Solink
Remote, Canada
- $55,000 to $68,000 CAD / year
- Full-time
- Remote
We are seeking a motivated Software Engineer Co-Op or Intern to join our R&D team. In this role, you’ll gain hands-on experience in full-stack development, working on both front-end and…
Added 46 mins ago
I
Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Demonstrated experience operating as a Lead Developer, Technical Lead, or senior engineer with ownership of design decisions and technical direction.
Added 46 mins ago
TC
Active Directory L3 Support Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 1 hour ago
SG
Forward Deployed Engineer
Sperton Global AS
Canada
- Full-time
You’ll be expected to operate like an engineer, product manager and technical operator at the same time - understanding the business problem, deciding what should be built, shipping it, and…
Added 1 hour ago
D
Release Train Engineer, Deloitte Global Technology
Deloitte
Toronto, ON
- Full-time
The Release Train Engineer (RTE) for the SWIFT team serves as an Agile facilitator responsible for coordinating multiple teams to plan and execute work as a unified release train. This role…
Added 1 hour ago
T
Aircraft Maintenance Engineer (AME) – Unlicensed
TalentWorld
Calgary, AB
- Full-time
Job title: Aircraft Maintenance Engineer (AME) – Unlicensed
Added 1 hour ago
M
Quality Engineer Lead
Manulife
Waterloo, ON
- Full-time
As a Quality Engineer Lead, you will play a critical role in shaping how quality is engineered across our technology platforms. You will lead the design and scaling of automated testing…
Added 1 hour ago
Application Security Engineer (senior - principal) Landmark
Halliburton
Calgary, AB
As an Application Security Engineer at Landmark, you will help identify and reduce security risk in the software products and digital platforms used by the energy industry. Working under…
Added 1 hour 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 2 hours 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 2 hours ago
C
AI Product Scaling Director
CIBC
Toronto, ON
- Full-time
You are a hands-on senior engineering leader. You have atleast 5+ experience operating at a Staff, Principal, Lead Engineer, or equivalent level, and you enjoy both designing systems and…
Added 2 hours ago
J
DevOps Engineer, New Grad
Jobright.ai
Canada
- Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 2 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 2 hours 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…

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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