IT & data jobs in Canada (5,194 jobs)

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 5,194
Employers: 2,152

Advertised starting pay

Average starting payCAD / year: $97,925Across 514 listings
Average starting payCAD / hour: $51.05Across 368 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%205 listings
Hybrid: 39%2,008 listings
On-site: 57%2,966 listings

Not specified: <1% (15 listings)

Employers hiring include TD (93), S M Software Solutions Inc (81), J&M Group (50).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 2 mins ago
NB
SAS Viya System Administrator
National Bank of Canada
Montreal, QC
- Full-time
A career as a SAS Viya System Administrator within the Cross-Functional Solutions, Acceleration and Data (STAD) team at National Bank means acting as a specialist in the administration and…
Added 2 hours ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 2 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 8 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 8 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 8 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 8 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 9 hours ago
2C
Computer Technician
22nd Cell Phone and Computer Fix
Saskatoon, SK
- Full-time
Added 11 hours ago
L
Senior Cybersecurity Analyst - SOC
lululemon
Vancouver, BC
- Full-time
Added 16 hours ago
OI
Learning Technology Systems Administrator
Ontario International High School
Toronto, ON
- $70,000 to $85,000 CAD / year
- Full-time
Added 18 hours ago
MD
Electronic Document Management System (EDMS) System Administrator - ITS4
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Added 19 hours ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Added 20 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 20 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 1 day ago
A
Principal Data Scientist
Autodesk
Montreal, QC
- Full-time
…and ensuring we can understand our customers better and make data-driven decisions as an organization and improve product,…
Added 1 day ago
Senior Data Analyst
Konrad
Toronto, ON
Added 1 day ago
Data Analyst
Konrad
Toronto, ON
Added 1 day ago
Systems Analyst
Regional Municipality of Wood Buffalo
Fort McMurray, AB
Added 1 day ago
H
Business Systems Administrator
Houle
Burnaby, BC
- Full-time
Added 1 day ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time

FDE Times

Machine Learning Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 25, 2026
Experience: 3-5+ years of experience building, deploying, and operating machine learning systems in production
Posting language: English
Posted: Nov 8, 2026

Original job description

Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, - and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including

Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Preferred Qualifications

Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Apply About employer

More about this job

Responsibilities

Design, build, deploy, and operate production machine learning systems for recommendations, search, ranking, advertising, content and user understanding, and AI-powered experiences. Own the ML lifecycle and scalable data and model pipelines, improve system performance and measurable outcomes, and collaborate across product, data science, infrastructure, and engineering teams.

Requirements

Candidates should have 3–5 or more years of experience building and operating production machine learning systems, strong programming and software engineering skills, and knowledge of statistical learning and deep learning. They should have experience with ML frameworks, scalable pipelines and model serving, and translating product or business problems into measurable ML solutions; experience in recommendation, search, advertising, distributed data processing, real-time systems, or LLMs is preferred.

Skills

Machine Learning
Python
Java
Go
PyTorch
TensorFlow
Deep Learning
Recommender Systems
Search and Ranking
Feature Engineering
Model Serving
Distributed Systems
Large-Scale Data Processing
LLM Evaluation and Alignment
Real-Time Systems
Production Monitoring

Benefits

Healthcare Benefits
Income Replacement Programs
401(k) With Employer Match
Global Benefits
Professional Development Support
Caregiving Support
Family Planning Support
Gender-Affirming Care
Mental Health and Coaching Benefits
Flexible Vacation
Paid Volunteer Time Off
Paid Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Machine Learning
Python
Java
Go
PyTorch
TensorFlow
XGBoost
Random Forests
Regression
Transformers
Convolutional Neural Networks
Graph Neural Networks
Recommender Systems
Search and Ranking
Advertising Systems
Auction Systems
Representation Learning
Multimodal Embeddings
Feature Engineering
Model Serving
Spark
Kafka
Ray
Airflow
BigQuery
Redis
LLM Evaluation
Retrieval-Augmented Generation
Model Monitoring

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