Full-time jobs in Canada

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

340,246 listings · 45,224 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,132 listings), Health Match BC (2,995 listings), Walmart (2,618 listings).

Common roles: Cook, Project manager, Sales representative.

61,674 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	36,386
CAD / year	80,000.00	21,231
USD / year	98,576.50	1,488
USD / hour	20.00	617
CAD / month	5,027.00	611
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 7 hours ago
DI
Aerospace Account Manager - Toronto
Dodge Industrial
Toronto, ON
- Full-time
Added 7 hours ago
W
(CAN) Overnight Assistant Manager
Walmart
New Glasgow, NS
- Full-time
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E
Clinical Supervisor - RPN
Extendicare
Kitchener, ON · ParaMed Admin Office - WW (Manitou Dr.)
- Full-time
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Site Technologies Analyst
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
- Full-time
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Child Care Kitchen Assistant
BrightPath Early Learning & Child Care
Ottawa, ON
- Full-time
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Registered Early Childhood Educator (RECE)
BrightPath Early Learning & Child Care
Oakville, ON
- Full-time
Added 7 hours ago
MI
Press Operator
Magna International
Markham, ON
- Full-time
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Clinical Community Supervisor- RN
Extendicare
Toronto, ON
- Full-time
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(CAN) Staff Pharmacist
Walmart
Calgary, AB
- Full-time
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(CAN) Modular Team Associate
Walmart
Milton, ON
- Full-time
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(CAN) General Merchandise Associate Overnights
Walmart
London, ON
- Full-time
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Installation Technician
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Remote, Canada
- Full-time
- Remote
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Loblaw Companies Limited
Brampton, ON
- Full-time
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Brewers Retail Inc
Bolton, ON
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Account Manager
ACCO Brands
Mississauga, ON
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Laboratory Assistant - LHSC South Okanagan
Dynacare
Peachland, BC · West Kelowna, BC
- Full-time
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AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Added 7 hours ago
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AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Added 7 hours ago
A
Inside Sales Representative
Avnet
Mississauga, ON
- Full-time
Added 7 hours ago
LC
Business Development Sr. Manager-Warehouse as a Service
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 7 hours ago
LC
Manager, Supply Chain Systems
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 7 hours ago
Loss Prevention Security Guard
GardaWorld
Red Deer, AB

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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