Jobs in Toronto, ON and nearby

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

49,737 listings · 7,058 employers Counted Oct 4, 2026. How we count

About these jobs

Employers hiring include Scotiabank (581 listings), Loblaw Companies Limited (530 listings), AtkinsRéalis (455 listings).

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

7,501 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	4,662
CAD / hour	23.65	2,036
USD / year	110,000.00	387
USD / hour	20.00	120
GBP / hour	35.00	14
CAD / month	4,000.00	13
CAD / week	868.50	12

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, 30% hybrid, 70% 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 Toronto, ON and nearby

Within 25 km

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Added 2 hours ago
Law Clerk
Toronto and Region Conservation Authority (TRCA)
Toronto, ON
Added 2 hours ago
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Polytainers Inc
Toronto, ON
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Food Safety & Quality Assurance Manager
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Mississauga, ON
- $90,000 to $95,000 CAD / year
- Full-time
Added 3 hours ago
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Manager, Technical Support – Projects & Services (Global)
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Toronto, ON
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Added 3 hours ago
MC
automotive body painter
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Mississauga, ON
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JC
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JPMorgan Chase & Co.
Toronto, ON
- Full-time
Added 3 hours ago
MI
Millwright
Mondelēz International
Toronto, ON
- $42.89 CAD / hour
- Full-time
Added 3 hours ago
ML
Hospitality Manager - Client Centre
MAPLE LEAF LOUNGE
Toronto, ON
- Full-time
Added 3 hours ago
W
Manager - Environmental Health and Safety
Wesco
Mississauga, ON
- $98,653 to $139,000 USD / year
- Full-time
Added 3 hours ago
CI
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
Toronto, ON
- Full-time

AMD

Sr. Software Development Engineer, AI Models

Markham, ON, Canada

$132,000 to $198,000 USD / year · Full-time

Apply About employer

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Job details

Pay: $132,000 to $198,000 USD / year
Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

The Role

Join our innovative team at AMD as an AI Models Software Engineer. We are seeking passionate individuals who are dedicated to optimizing, accelerating, and applying AI models. As a member of our dynamic team, you will have the opportunity to shape the future of AI model development and make a significant impact in various industries and applications.

The Person

We are looking for a candidate who is deeply passionate about AI models and possesses strong engineering skills to tackle complex challenges. You should have experience in optimizing and accelerating NLP/Generative AI models. Effective communication and collaboration with diverse teams across AMD are essential for success in this role.

As An AI Models Software Engineer, You Will

Drive Innovation: Work on cutting-edge projects and collaborate with a team of highly skilled industry specialists. Push the boundaries of AI model optimization and application and contribute to the advancement of AI technology.

Optimize AI Models: Leverage quantization, sparsity, and architecture search methods to optimize and enhance the performance, efficiency, and accuracy of Generative AI models. Unlock the full potential of AI technology and enable groundbreaking solutions.

Collaborate with Experts: Collaborate closely with software engineers, data scientists, and researchers to integrate AI models into software applications and platforms. Learn from the best in the field and work together to achieve seamless integration and optimal performance.

Stay Ahead of the Curve: Stay updated with the latest advancements in AI algorithms, frameworks, and technologies. Continuously explore new techniques and approaches to stay at the forefront of AI model development and optimization.

By joining our team, you will be part of a collaborative environment that fosters innovation and encourages professional growth. You will have access to cutting-edge technology, training programs, mentorship opportunities, and a clear career progression path.

If you are passionate about AI models and possess the skills to drive innovation and optimization, we invite you to join our team at AMD. Apply now and be at the forefront of the AI revolution!

Key Responsibilities

Research, design, and implement novel methods for efficient Generative AI training and inference
Algorithmic model optimization and training methods design including quantization, sparsity, innovative parallelism strategies etc.
Innovate and publish your work.
Collaborate with other team members and teams.

Preferred Experience

Project experiences on generative tasks. Familiar with deep learning framework, e.g., PyTorch/JAX/ONNX/TensorFlow.
Experience working with linear scaling of large language models and training at scale
Project experiences on model compression, quantization, and end-to-end inference optimization.
Strong knowledge of artificial intelligence, deep learning or machine learning.
Strong coding skills in Python required, C/C++ skills a plus.
Skilled in academic paper writing and technical innovation.
Additional plus if recent publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
Experience with any of the following also a plus: LLMs, Large Multi-modal models, stable diffusion, or text-to-video generation.

Academic Credentials

A PhD or master’s degree in artificial intelligence, machine learning, or a related field.

LOCATION:

Markham, Ontario

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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More about this job

Responsibilities

Research, design, and implement methods to improve the efficiency of generative AI model training and inference, including quantization, sparsity, and parallelism strategies. Collaborate with engineers, data scientists, and researchers to optimize and integrate models, and innovate and publish technical work.

Requirements

A master’s or PhD in artificial intelligence, machine learning, or a related field is requested, along with strong knowledge of AI, deep learning, or machine learning and strong Python coding skills. Relevant experience includes generative AI projects, deep learning frameworks, large-scale language model training, model compression, quantization, and end-to-end inference optimization; C/C++ skills and academic publications are advantages.

Skills

Generative AI Model Optimization
AI Model Training and Inference
Quantization
Sparsity
Architecture Search
Parallelism Strategies
Deep Learning
Machine Learning
Natural Language Processing
Large Language Models
Model Compression
Inference Optimization
PyTorch
JAX
Python
Technical Writing and Research

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Artificial Intelligence
Deep Learning
Machine Learning
Natural Language Processing
Large Language Models
Large Multimodal Models
Stable Diffusion
Text-To-Video Generation
Model Training
Inference
Quantization
Sparsity
Architecture Search
Parallelism
Model Compression
Inference Optimization
PyTorch
JAX
ONNX
TensorFlow
Python
C/C++
Large-Scale Training
Algorithm Design
Academic Publications
Semiconductor Manufacturing

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