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Added 2 mins ago
GC
CIVIL ENGINEER
Giffen Consulting Ltd.
Vancouver, BC
- Full-time
Giffen Consulting Ltd. (Giffen) is looking to hire a Civil Engineer with a mining and/or heavy industrial background to join our growing team. We are looking for an individual to join us on…
Added 2 mins ago
NF
Solutions Engineer
NES Fircroft
Montreal, QC
- Full-time
Our client is seeking an experienced and professional Solutions Engineer to join their expanding North America operations. This role requires strong mechanical aptitude and the ability to…
Added 2 mins ago
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Manufacturing Engineer
Jamesway
Cambridge, ON
- $75,000 to $85,000 CAD / year
- Full-time
Reporting to the Manufacturing Engineer Manager, the Manufacturing Engineer is responsible for implementing, documenting and improving production processes relating to Safety, Quality,…
Added 3 mins ago
Software Engineer
Scotiabank
Toronto, ON
We are seeking a highly skilled Software Engineer to design, develop, and support enterprise applications and data platforms. The role requires strong hands-on expertise in software…
Added 3 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 3 mins ago
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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 3 mins ago
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Electrical Engineer in Training
Stantec
London, ON
- Full-time
In this position as an Electrical Engineer in Training you will have the opportunity to work as part of a team of engineers, technicians, and technologists on multiple projects for a range…
Added 3 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 18 mins ago
Senior Software Engineer, Foundational Infrastructure & Networking
Lyft
Toronto, ON
…Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable…
Added 18 mins ago
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Ingénieur, Conception de la cellule/Airframe Design Engineer
Textron
Mirabel, QC
- Full-time
People with disabilities may receive assistance with the screening and selection process, if they wish
Added 18 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 18 mins ago
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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 18 mins ago
A
Engineer - Continuous Improvement
Anatolia
Vaughan, ON
- $85,000 to $90,000 CAD / year
- Full-time
The Engineer - Continuous Improvement supports site efforts to maintain the Anatolia operating structure. They apply continuous improvement principles and practices to improve products,…
Added 32 mins ago
TC
Active Directory L3 Support Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial…
Added 32 mins ago
M
Intermediate Civil Engineer
McElhanney
Salmon Arm, BC
- Full-time
McElhanney has a unique opportunity for an Intermediate Civil Engineer to join our team in Salmon Arm BC (who would also support our Vernon and Kelowna Branches). As an experienced…
Added 1 hour ago
AE
Regional Manager – Engineering Operations and Business Development
ART Engineering Inc.
Toronto, ON · North York, ON
- Full-time
Professional Engineer designation is preferred.
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
CN
Maintenance Engineering Specialist
Canadian Nuclear Laboratories
Pinawa, MB
- Full-time
Developing and reviewing engineering design documentation, identifying replacement equipment, and recommending equipment or process improvements.
Added 1 hour ago
A
Continuous Improvement Engineer
Anatolia
Vaughan, ON
- $85,000 to $90,000 CAD / year
- Full-time
The Engineer - Continuous Improvement supports site efforts to maintain the Anatolia operating structure. They apply continuous improvement principles and practices to improve products,…
Added 1 hour ago
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Quality Engineer
MicroAgility
Toronto, ON
- Full-time
We are seeking an experienced and detail-oriented Quality Engineer to support and maintain our Quality Management System while ensuring that products, processes, and suppliers meet customer…
Added 1 hour ago
WI
Project Engineering Manager Studies
WSP in Canada
Toronto, ON · Etobicoke, ON
- Full-time
Professional Engineer, P.Eng., status in a Canadian province.
Added 1 hour ago
CM
Propulsion Engineer
Carter Murray
Montreal, QC
- $75,000 to $150,000 CAD / year
- Full-time
Our client is seeking a Propulsion Engineer to support commercial aircraft engine maintenance, repair, and overhaul (MRO) operations, with a primary focus on CFM56 engines. This role is…
Added 1 hour ago
JA
Maintenance Training Instructor (CAT E)
Jazz Aviation LP
Halifax, NS
- Full-time
Transport Canada Licensing for Aircraft Maintenance Engineer.
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
Graduate Transit & Urban Mobility Engineer - 2027
Mott MacDonald
Vancouver, BC

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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