Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

82,845 listings · 9,918 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,821 listings), Loblaw Companies Limited (1,421 listings), Shoppers Drug Mart (1,279 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

12,885 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 / year	85,000.00	6,717
CAD / hour	26.00	5,043
USD / year	120,000.00	491
USD / hour	27.00	252
CAD / month	6,217.52	30
CAD / week	2,914.00	23
CAD / day	114.00	10

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: 0% remote, 27% hybrid, 72% 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

Jobs in Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 2 hours ago
YU
Facilities Assistant
Yorkville University
Toronto, ON
- Full-time
Added 3 hours ago
CI
Senior Maintenance Technician
Curaleaf International
Brampton, ON
- Full-time
Added 3 hours ago
CI
Manufacturing Technician
Curaleaf International
Brampton, ON
- $50,000 CAD / year
- Full-time
Added 3 hours ago
DH
DZ P&D Driver
Daniels Health
Brampton, ON
- Full-time
Added 3 hours ago
AB
Oracle ERP Compliance & Security Specialist (hybrid in Ottawa or Montreal or Toronto)
Ateko, backed by Bell Canada
Toronto, ON
- Contract
Added 3 hours ago
BI
Pega Lead System Architect
BURGEON IT SERVICES
Toronto, ON
- Contract
Added 3 hours ago
WO
Health Care Aide - Rehabilitation
William Osler Health System
Brampton, ON
- Contract
Added 3 hours ago
DI
Insurance Advisor
deVere Insurance Canada Inc.
Toronto, ON
- Full-time
Added 3 hours ago
JG
Senior iOS Engineer - Sports & Media Broadcasting
J&M Group
Toronto, ON
- Contract
Added 3 hours ago
VT
Business Systems Analyst
Vision Talent Co.
Toronto, ON
- Contract
Added 3 hours ago
VC
Program Delivery Director (Integrated Marketing Campaign)
VTRAC Consulting Corporation (WBE)
Toronto, ON
- Full-time
Added 3 hours ago
WO
Health Care Aide - Rehabilitation
William Osler Health System
Brampton, ON
- Contract
Added 3 hours ago
CM
Market Risk Manager
CIBC Mellon
Toronto, ON
- Full-time
Added 3 hours ago
I-
General Accountant
IFG - International Financial Group
Toronto, ON
- $30 to $34 CAD / hour
- Contract
Added 3 hours ago
FP
Estimator
FIKO Projects Inc.
Toronto, ON
- Full-time
Added 3 hours ago
DI
Life & Health Insurance Advisor
deVere Insurance Canada Inc.
Toronto, ON
- Full-time
Added 3 hours ago
QM
Administrative Coordinator - Regulatory Services
Quantum Management Services Ltd.
Toronto, ON
- $25 CAD / hour
- Contract
Added 3 hours ago
A
Senior Public Funding Consultant
Ayming
Toronto, ON
- Full-time
Added 3 hours ago
C
Operations Assistant - EXCEL - Bank/Finance
Collabera
Toronto, ON
- $20 to $22 CAD / hour
- Contract
Added 3 hours ago
BI
JIRA Support Specialist
BURGEON IT SERVICES
Toronto, ON
- Contract
Added 3 hours ago
K
Senior Analyst/Engineer - PSA and Risk Assessment
Kinectrics
Toronto, ON
- Full-time
Added 3 hours ago
ZS
Program Manager
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 3 hours ago
KD
Business Development Executive - 3PL Logistics
Kendrew Distribution Services Limited
Vaughan, ON
- $85,000 CAD / year
- Full-time
Added 3 hours ago
D
Senior Product Designer
Dexian
Toronto, ON
- $60 to $95 CAD / hour
- Contract
Added 3 hours ago
TR
Social Media Manager
Thomson Reuters
Toronto, ON
- $37 to $42 CAD / hour
- Contract

Conviva

AI/ML Engineer

Toronto, ON, Canada

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Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 2, 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.

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More about this job

Responsibilities

You will design, develop, and train machine learning models to solve complex real-world problems while owning the end-to-end ML development lifecycle. Additionally, you will collaborate with engineering and product teams to translate research ideas into practical, scalable solutions.

Requirements

Candidates should possess a strong foundation in machine learning, deep learning, and statistics, with hands-on experience in model development and evaluation. A PhD in a quantitative field is preferred, along with proficiency in Python or C++ and experience with frameworks like PyTorch or TensorFlow.

Skills

Machine Learning
Deep Learning
Python
C++
PyTorch
TensorFlow
Reinforcement Learning
LLM Training
Data Structures
Algorithms
Statistics
Probability
Experimental Design
Model Evaluation
Data Pipelines
MLOps

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Deep Learning
Reinforcement Learning
LLM
PyTorch
TensorFlow
Python
C++
Data Structures
Algorithms
Statistics
Probability
MLOps
Spark
Flink
Model Development
Experimental Design
Data Pipelines
Analytics
Research
Distributed Training
Model Serving
Monitoring
Computer Science
Mathematics
Engineering
Product Development
Scalability
Infrastructure

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