Jobs in Mississauga, ON and nearby

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

78,439 listings · 10,103 employers Counted Oct 30, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,278 listings), Shoppers Drug Mart (1,239 listings), S M Software Solutions Inc (962 listings).

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

12,986 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	6,849
CAD / hour	30.00	5,124
USD / year	115,000.00	403
USD / hour	29.50	252
CAD / month	5,054.00	22
CAD / week	2,914.00	18

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, 29% hybrid, 71% 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 Mississauga, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 18 hours ago
WO
Pharmacy Technician – Pharmacy
William Osler Health System
Brampton, ON
- Contract
Added 18 hours ago
O&
Grill Cook - La Plume
Oliver & Bonacini
Toronto, ON
- Full-time
Added 18 hours ago
Senior DevOps / DevSecOps Engineer
Capco
Toronto, ON
Added 18 hours ago
Sr. Product Manager (Bilingual - French/English), Alexa Canada
Amazon
Toronto, ON
Added 18 hours ago
SD
Pharmacy Assistant, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 18 hours ago
SD
Pharmacy Assistant, Hourly Part Time Day
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 18 hours ago
W
(CAN) Stock Unloader Associate
Walmart
Toronto, ON
- Part-time
Added 18 hours ago
SS
LPN Med Care Manager
Sunrise Senior Living
Mississauga, ON
- Full-time
Added 18 hours ago
LC
Natural Foods Clerk Part Time Evening Greenlight Requisition
Loblaw Companies Limited
Oakville, ON
- Part-time
Added 18 hours ago
KS
Supervisor I
kate spade new york
Toronto, ON
- Full-time
Added 18 hours ago
NB
Director, Marketing Partnerships Lead – NBA Canada
National Basketball Association (NBA)
Toronto, ON
- Full-time
Added 19 hours ago
M
Advisor, Rapid Transit Analysis
Metrolinx
Toronto, ON
- Full-time
Added 19 hours ago
Assistant General Manager
Recipe Unlimited
Oakville, ON
Added 19 hours ago
Host - Harpers Landing
Recipe Unlimited
Oakville, ON
Added 19 hours ago
A
BIM Coordinator
AtkinsRéalis
Toronto, ON
- Full-time
Added 19 hours ago
R
Senior Software Developer, Workday Integrations & Extend
RBC
Toronto, ON
- Full-time
Added 19 hours ago
P
Suitability Review Analyst
Primerica
Mississauga, ON
- Full-time
Added 19 hours ago
T
Software Engineer II Full Stack (Branch Systems)
TD
Toronto, ON
- Full-time
Added 19 hours ago
T
Site Reliability Engineer Lead
TD
Toronto, ON
- Full-time
Added 19 hours ago
T
VP, Advanced Client Analytics
TD
Toronto, ON
- Full-time
Added 19 hours ago
HR
Beauty Advisor - La Prairie
Holt Renfrew
Mississauga, ON
- Full-time
Added 19 hours ago
HR
Sales Associate
Holt Renfrew
Toronto, ON
- Part-time
Added 19 hours ago
HR
Sales Associate - Mens Footwear
Holt Renfrew
Toronto, ON
- Full-time
Added 19 hours ago
HR
Specialist, Designated Beauty Advisor (DBA) - La Prairie
Holt Renfrew
Mississauga, ON
- Full-time
Added 19 hours ago
HR
Sales Associate - Men's Footwear
Holt Renfrew
Toronto, 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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