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Added 7 mins ago
EC
Software Engineer II
Emburse Chrome River
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 23 mins ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 37 mins ago
Applied AI Engineer
ContactMonkey
Toronto, ON
Added 37 mins ago
H
Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 1 hour ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
Added 1 hour ago
TH
QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
We are looking for a dynamic QA Automation Engineer, eager to deliver high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and…
Added 5 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 8 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 10 hours ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
Platform & Site Reliability Engineer (Dev Ops/ AWS / SRE / Cloud)
Added 12 hours ago
A
Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
Ideal for an Engineering Manager, Software Manager, Team Lead, or an Embedded Engineer looking to move into a larger leadership role while staying close to technology.
Added 12 hours ago
Q
Sr Staff AI Software Engineer
Qualcomm
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 14 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 14 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 15 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 15 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 16 hours ago
ES
Platform Engineer - AI/ML Infrastructure
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 17 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
Google Cloud Professional Machine Learning Engineer
Added 17 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 17 hours ago
P&
Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Added 17 hours ago
SP
Professor, Part-Time
Seneca Polytechnic
Toronto, ON · North York, ON
- Part-time
Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.
Added 17 hours ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 19 hours ago
AI
Kubernetes Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced Kubernetes (K8S) / HPC Engineer to design, deploy, and manage scalable compute platforms supporting AI/ML, simulation, and data-intensive workloads.
Added 20 hours ago
T
Applied AI/ML Scientist
TEEMA
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
Applied AI/ML Scientist / Engineer, Health Agents
Added 21 hours ago
AL
Principal Product Applications Engineer - Scorpio
Astera Labs
Vancouver, BC
- Full-time
…accelerators at rack scale. As a Principal Product Applications Engineer on the Scorpio team, you will be the technical face of our switching portfolio to the world's leading hyperscalers,…
Added 21 hours ago
T
Senior Data Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
As a Senior Data Engineer, you'll own data platform design and delivery for client engagements, from scoping and architecture through to production. You'll work directly with client…

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

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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

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