Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

177,662 listings · 19,643 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,606 listings), Shoppers Drug Mart (3,574 listings), Walmart Canada (2,830 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

29,592 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	23.00	15,417
CAD / year	80,000.00	11,676
USD / year	100,000.00	729
USD / hour	20.00	595
CAD / month	4,304.00	44
CAD / week	937.50	28
CAD / day	28.00	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: 0% remote, 17% 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

Jobs in Ontario

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Added 6 hours ago
Service Technician Skis and Bikes
Sporting Life Group
Richmond Hill, ON
Added 6 hours ago
SD
Pharmacovigilance Specialist
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
Added 6 hours ago
C
Work Equipment HDM (Mechanic A)
CN
Toronto, ON
- Full-time
Added 6 hours ago
LV
SEASONAL ASSOCIATE-EN
La Vie En Rose
Burlington, ON
- Part-time
Added 6 hours ago
KG
Operational Controls Analyst/Archer/ServiceNow/GRC
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Added 6 hours ago
MM
Receptionist
Maple Mutual Insurance
Chatham-Kent, ON
- Full-time
Added 6 hours ago
ZC
Office Experience - Reception (Kitchener)
Zurich Canada
Waterloo, ON
- Full-time
Added 6 hours ago
LM
Job Posting Test (DATA API)
Lever Middleware Test Company
Toronto, ON
- Full-time
Added 6 hours ago
RE
Fixed Asset Accountant
Redwood Employment Inc.
Ajax, ON
- $65,000 to $90,000 CAD / year
- Full-time
Added 6 hours ago
LC
Cashier, Hourly Part Time Flexible Shifts
Loblaw Companies Limited
Hamilton, ON
- Part-time
Added 6 hours ago
NF
Produce Clerk Part Time Day
No Frills
ON
- Part-time
Added 6 hours ago
B
Intermediate Business Project Manager (Insurance or Banking exp)
Bevertec
Waterloo, ON
- Contract
Added 6 hours ago
LV
ASSISTANT MANAGER-EN
La Vie En Rose
Toronto, ON
- Full-time
Added 6 hours ago
ET
Android Developer
Envision Technology Solutions
Toronto, ON
- Contract
Added 6 hours ago
H
Internal Audit Manager
HiredUp
Toronto, ON
- Full-time
Added 6 hours ago
S
Staff Security Engineer
Snaplii
Toronto, ON
- Full-time
Added 6 hours ago
W
Business Administration Support
Wellington-Altus
Burlington, ON
- Full-time
Added 6 hours ago
SH
Personal Support Worker
SE Health
London, ON
- Temporary
Added 6 hours ago
SH
Occupational Therapist
SE Health
Port Colborne, ON
- Full-time
Added 6 hours ago
TH
Customer Experience Representative
Trudell Healthcare Solutions Inc.
London, ON
- Full-time
Added 6 hours ago
S&
SEO Manager
Saatchi & Saatchi Canada
Toronto, ON
- Full-time
Added 6 hours ago
SB
Receptionist
Spa Bellissima Inc.
Milton, ON
- Full-time
Added 6 hours ago
SD
Pharmacovigilance Specialist
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
Added 6 hours ago
DD
Strategic Account Representative
D&H Distributing
Mississauga, ON
- Full-time
Added 6 hours ago
DD
Strategic Account Representative
D&H Distributing
Mississauga, ON
- Full-time

Arkion-tech

Software Intern

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

Internship

Apply About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

About The Role

We are looking for a Software Intern to help us adapt open-weight large language models to security and identity work. You will take a model from raw data to a measured result: preparing datasets, running fine-tuning jobs, and building the evaluations that tell us whether a change helped.

This is a Fall/Winter internship: hands-on work with real models and real GPUs, alongside the founding team. If you have already fine-tuned a model and want to do it on problems that matter, this is the role for you.

Responsibilities

What you’ll own.

Data & training

Collect, clean, and prepare training and evaluation datasets.
Fine-tune open-weight LLMs with SFT and parameter-efficient methods (LoRA / QLoRA).
Run and monitor training jobs on GPUs, and make the most of limited compute.

Evaluation

Build evaluation sets and benchmarks that reflect the tasks we care about.
Compare models and training runs, and report clearly what worked and what did not.

Required Skills

What you’ll bring day one.

Core

PyTorch and the Hugging Face ecosystem (Transformers, Datasets, PEFT).
Hands-on experience with open-weight LLMs.
Fine-tuning: SFT, LoRA / QLoRA.
Dataset preparation for training and evaluation.
Model evaluation.
GPU fundamentals: memory, batch sizes, mixed precision.

Nice to Have

Domain-adaptive or continued pretraining (DAPT).
Synthetic data generation.
CUDA.
Docker.
vLLM for serving and fast inference.
Experiment tracking (Weights & Biases, MLflow or similar).
Evaluation frameworks and harnesses.
Reinforcement learning for LLMs.

Why Join Us

01

Train and evaluate real models, not a sandbox project.

02

Work directly with the founding team.

03

Learn how AI meets security and cryptographic identity.

Apply About employer

More about this job

Responsibilities

Prepare training and evaluation datasets, fine-tune open-weight LLMs using supervised and parameter-efficient methods, and run and monitor GPU training jobs. Build benchmarks, compare models and training runs, and clearly report evaluation results.

Requirements

Candidates should have hands-on experience with open-weight LLMs, PyTorch, the Hugging Face ecosystem, fine-tuning methods such as SFT and LoRA/QLoRA, and dataset preparation and model evaluation. They should understand GPU fundamentals, including memory, batch sizes, and mixed precision; experience with domain-adaptive pretraining, synthetic data, CUDA, Docker, vLLM, experiment tracking, evaluation frameworks, or LLM reinforcement learning is a plus.

Skills

PyTorch
Hugging Face Transformers
Hugging Face Datasets
PEFT
Open-Weight LLMs
Supervised Fine-Tuning
LoRA
QLoRA
Dataset Preparation
Model Evaluation
GPU Computing
Mixed Precision
Domain-Adaptive Pretraining
Synthetic Data Generation
CUDA
Docker

Visa sponsorship

Not detected in the job text

Keywords

PyTorch
Hugging Face
Transformers
Datasets
PEFT
Open-Weight Large Language Models
Supervised Fine-Tuning
LoRA
QLoRA
Training Datasets
Evaluation Datasets
GPU Training
Model Evaluation
Benchmarks
GPU Memory
Batch Sizes
Mixed Precision
Domain-Adaptive Pretraining
Continued Pretraining
Synthetic Data Generation
CUDA
Docker
vLLM
Fast Inference
Weights & Biases
MLflow
Evaluation Frameworks
Reinforcement Learning for LLMs
Security
Cryptographic Identity

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