Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

339,732 listings · 45,198 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,132 listings), Health Match BC (2,995 listings), Walmart (2,616 listings).

Common roles: Cook, Project manager, Sales representative.

61,596 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	36,340
CAD / year	80,000.00	21,205
USD / year	98,653.00	1,487
USD / hour	20.00	616
CAD / month	5,027.00	608
CAD / week	1,445.00	51
CAD / day	375.00	37
USD / week	1,622.80	17
GBP / year	40,000.00	14
USD / month	4,000.00	13
EUR / year	65,000.00	11

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.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 4 hours ago
TH
DIRECTEUR ADJOINT DE MAGASIN
The Home Depot Canada
Brantford, ON
- Full-time
Added 4 hours ago
MM
Senior IT Business Systems Analyst
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- $82,921 to $103,000 CAD / year
- Full-time
Added 4 hours ago
TH
Assistant Store Manager
The Home Depot Canada
Brantford, ON
- Full-time
Added 4 hours ago
AG
Program Specialist II
Allegis Global Solutions
Mississauga, ON
- Full-time
Added 4 hours ago
TS
Scheduler
The Salvation Army in Canada
Victoria, BC
- Full-time
Added 4 hours ago
TH
Loss Prevention Specialist Full Time
The Home Depot Canada
Mississauga, ON
- Full-time
Added 4 hours ago
T
Customer Success Manager, North America
tripstack
Toronto, ON
- Full-time
Added 4 hours ago
TH
Hardware Associate: Full Time - SAANICH
The Home Depot Canada
Saanich, BC
- Full-time
Added 4 hours ago
FT
Digital Marketing Consultant / Growth Advisor
Falcon Transfers
Mississauga, ON
- Full-time
Added 4 hours ago
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Product Management Specialist
Vicwest
Burlington, ON
- Full-time
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C
Hydraulic Project Engineer / Project Coordinator – Water/Wastewater
CIMA+
Kitchener, ON
- Full-time
Added 4 hours ago
P
HR & Talent Acquisition Specialist
Perennial
Toronto, ON
- Full-time
Added 4 hours ago
H
Human Resources Generalist
Hays
Toronto, ON
- $70,000 to $90,000 CAD / year
- Full-time
Added 4 hours ago
RH
Senior Financial Analyst
Robert Half
Fergus, ON
- Full-time
Added 4 hours ago
VE
Driver Development & Compliance Coordinator
Victor Energy
Saskatoon, SK
- Full-time
Added 4 hours ago
RH
Sr. Finance Manager
Robert Half
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Full-time
Added 4 hours ago
TH
Loss Prevention Specialist Full Time
The Home Depot Canada
Toronto, ON · Etobicoke, ON
- Full-time
Added 4 hours ago
CA
Finance Business Partner
Canadian Accounting Consultants [CPA Recruitment]
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
Added 4 hours ago
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Retail Store Manager
SPIER & MACKAY
Mississauga, ON
- Full-time
Added 4 hours ago
P
Finance Director
Pollin
Toronto, ON
- Full-time
Added 4 hours ago
PI
Courier Utility 080
Purolator Inc.
Regina, SK
- Full-time
Added 4 hours ago
M
Accounts Payable Specialist
Mevotech
Toronto, ON
- Full-time
Added 4 hours ago
SC
Food Safety Program Manager
Sysco Canada Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 4 hours ago
B
Accounts Receivable & Collections Analyst
Beanfield
Toronto, ON
- $50,000 to $55,000 CAD / year
- Full-time
Added 4 hours ago
T
Sap Finance Control Consultant
Tekshapers
Toronto, ON
- Full-time

Conviva

AI/ML Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 1, 2027
Posting language: English
Posted: Oct 18, 2026

Original job description

Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.

We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration.

We are looking for someone who goes beyond implementing existing approaches - someone who can understand a problem deeply, evaluate alternative solutions, make informed technical decisions, and systematically investigate why a model succeeds or fails.

You will collaborate closely with engineering and product teams to explore new ML approaches, develop effective models, and build the tools and infrastructure needed to support scalable experimentation and deployment. We welcome candidates from both academic research and industry backgrounds, including recent PhD graduates with strong hands-on research experience and engineers who have demonstrated exceptional model development capabilities in industry.

What Success Will Look Like:

Design, develop, train, and evaluate machine learning models to solve complex real-world problems.
Own the end-to-end ML development lifecycle, including dataset construction, model design, training, experimentation, evaluation, and continuous improvement.
Explore and apply modern ML techniques, including deep learning, reinforcement learning, and LLM training or fine-tuning, as appropriate to the problem.
Design rigorous experiments, define meaningful evaluation metrics, establish baselines, and analyze model performance to guide technical decisions.
Translate research ideas into practical solutions through close collaboration with engineering and product teams.
Contribute to ML tooling, data pipelines, and infrastructure that support efficient experimentation and scalable model development.
Take ownership of technical challenges, proactively investigate new approaches, and continuously improve model quality and reliability.
Collaborate effectively in a small, highly technical team, sharing knowledge and contributing to engineering best practices.

Who You Are & What You've Done

PhD preferred in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field. Recent PhD graduates with strong research experience are encouraged to apply.
Strong foundation in machine learning, deep learning, probability, statistics, algorithms, and data structures.
Hands-on experience developing and training ML models through academic research or industry projects.
Experience with ML frameworks such as PyTorch or TensorFlow.
Solid understanding of the ML development lifecycle, including data preparation, model training, experimental design, evaluation methodology, and error analysis.
Strong programming skills in Python, C++, or another relevant programming language.
Ability to independently investigate complex technical problems, design experiments, and communicate findings clearly.
Strong problem-solving skills, intellectual curiosity, and a willingness to explore new techniques.
Good English communication skills.

Nice to Have

Research publications at leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or other relevant venues.
Experience with reinforcement learning, deep learning, LLM fine-tuning, pre-training, or post-training techniques.
Experience with large-scale model training, distributed training, or ML systems optimization.
Experience deploying ML models into production or developing ML infrastructure, including model serving, monitoring, and MLOps.
Familiarity with large-scale data processing frameworks such as Spark or Flink.

The expected salary range for this full-time position is $180,000–$250,000 + equity + benefits. Actual level and compensation are determined by qualifications, professional background, and relevant experience.

Learn more at conviva.ai and follow the company on LinkedIn and YouTube.

Apply About employer

More about this job

Responsibilities

Design, train, evaluate, and iteratively improve machine learning models, owning the lifecycle from dataset construction and experimentation through debugging and evaluation. Collaborate with product and engineering teams to translate research into practical solutions and contribute to the data pipelines, tools, and infrastructure that enable scalable ML development.

Requirements

A PhD in computer science, machine learning, mathematics, statistics, or a related quantitative field is preferred, with recent PhD graduates encouraged to apply. Candidates should have strong ML fundamentals, hands-on model development experience, proficiency in Python, C++, or another relevant language, and experience with frameworks such as PyTorch or TensorFlow.

Skills

Machine Learning
Deep Learning
Reinforcement Learning
Large Language Model Training And Fine-Tuning
PyTorch
TensorFlow
Python
C++
Probability And Statistics
Experimental Design
Model Evaluation
Error Analysis
Data Pipelines
Distributed Training
MLOps
Spark And Flink

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Deep Learning
Reinforcement Learning
Large Language Models
LLM Fine-Tuning
Model Training
Model Evaluation
PyTorch
TensorFlow
Python
C++
Probability
Statistics
Algorithms
Data Structures
Experimental Design
Error Analysis
Dataset Construction
Data Preparation
Data Pipelines
Distributed Training
ML Systems Optimization
Model Serving
Monitoring
MLOps
Spark
Flink
Streaming Analytics
Experience Analytics

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