Jobs in Canada

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Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Remote, Canada
- Full-time
- Remote
Expérience avec les services Azure tels que : Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Data Lake Storage
Added 4 months ago
A
Staff Applied Scientist (Distribution Center Solutions)
Afresh
Remote, Canada
- $169,000 to $252,000 CAD / year
- Full-time
- Remote
We are looking for a Staff Applied Scientist to lead R&D work at Afresh. You will take your existing knowledge of machine learning, forecasting, operations research, and stochastic…
Added 4 months ago
AE
Environmental Scientist and Project Manager
Associated Engineering
Edmonton, Alberta
- Full-time
…organization. We are seeking an experienced and dedicated Environmental Scientist and Project Manager to join our team in our Edmonton office. In this role you will be responsible for…
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
Added 3 months ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
The Lead Data Scientist is responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.
Added 3 months ago
M
Principal Data Scientist
Mastercard
Toronto, ON
- Full-time
Mastercard is seeking a Principal Data Scientist to lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product that enhances consumer…
Added 3 months ago
AB
Senior Research Scientist, Cell Biology - Organoid/iPSC
Applied Biological Materials Inc
Richmond, BC
- $100,000 to $150,000 CAD / year
- Contract
As part of our continued global expansion, we are looking for an experienced and driven PhD scientist to join our Cell Biology team as Senior Research Scientist to help drive our next phase…
Added 3 months ago
O
Intermediate Environmental Scientist
Onterris
Fort St. John, BC · CAN-British Columbia-Fort St. John
- Full-time
As an Intermediate Environmental Scientist/Technologist, in Fort St. John, British Columbia, you’ll be responsible for leading multiple projects where you will have increasing interaction…
Added 2 months ago
N
Electrical Engineer - Kitchener, Ontario
Nicoya
Kitchener, ON
- Full-time
…with scientific instruments, making them accessible to every scientist. As CEO, Ryan leads the team at Nicoya and continues to bring his vision to life. Today, Nicoya Lifesciences is…
Added 2 months ago
Senior Manager, Unsecured Lending Models
Scotiabank
Toronto, ON
Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams.
Added 1 month ago
NB
Senior AI Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Artificial Intelligence (AI) Scientist on the AI Factory team at National Bank means playing a key role in evaluating, optimising and monitoring the performance of AI…
Added 4 months ago
JC
Senior Machine Learning Engineer
Jumio Corporation
Montreal, Quebec
- Full-time
Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning.
Added 4 months ago
K
Engineer/Scientist (I&C Design) - New Brunswick
Kinectrics
Saint John, New Brunswick
- Full-time
Added 4 months ago
K
Engineer/Scientist (Electrical Design) - New Brunswick
Kinectrics
Saint John, New Brunswick
- Full-time
Added 2 months ago
TC
Machine Learning Engineer - Express Scripts Canada
The Cigna Group
Mississauga, ON
- Full-time
- Other
…Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and…
Added 3 months ago
CH
Machine Learning Engineer - Express Scripts Canada
Cigna Healthcare
Mississauga, ON
- Full-time
…Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and…
Added 2 months ago
A
Manufacturing Science & Technologies Scientist
Apotex
Richmond Hill, ON
- $83,126.43 to $116,377 CAD / year
The Scientist MST-TSS is responsible to coordinate, plan and execute projects to support all activities requiredas per PLCM and NSQ projects..
Added 3 months ago
PI
Opportunistic Role
Phylo, Inc.
Toronto, ON
- Full-time
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical…
Added 3 months ago
S
Environmental Professional/Technician, Contaminated Sites
Stantec
Saskatoon, SK
- Full-time
We are seeking a mid-level contaminated sites Project Environmental Engineer / Geologist / Scientist / Technologist to join our growing Saskatchewan Site Investigation and Remediation (SIR)…
Added 3 months ago
CO
Associate, Process Management- New Grad 2027
Capital One
Toronto, ON
- Full-time
Collaborate with various departments (such as our agile software studio and our data scientist team) to develop and execute effective and efficient processes
Added 4 months ago
WI
Senior Water Quality Scientist / Engineer
WSP in Canada
Saskatoon, Saskatchewan
- Full-time
As a Senior Water Quality Scientist / Engineer, you’ll join a dynamic, multi-disciplinary water quality assessment team of over 30 scientists, modellers, and aquatic toxicologists known for…
Added 4 months ago
WI
Senior Water Quality Scientist / Engineer
WSP in Canada
Edmonton, Alberta
- Full-time
As a Senior Water Quality Scientist / Engineer, you’ll join a dynamic, multi-disciplinary water quality assessment team of over 30 scientists, modellers, and aquatic toxicologists known for…
Added 4 months ago
WI
Senior Water Quality Scientist / Engineer
WSP in Canada
Calgary, Alberta
- Full-time
As a Senior Water Quality Scientist / Engineer, you’ll join a dynamic, multi-disciplinary water quality assessment team of over 30 scientists, modellers, and aquatic toxicologists known for…
Added 4 months ago
P
Enterprise Account Executive
Phylo
Toronto, Ontario
- $250,000 to $300,000 CAD / year
- Full-time
biomedical scientist. We believe AI agents will fundamentally transform how biomedical
Added 4 months ago
SF
Technical Research Scientist
Simon Fraser University
Burnaby, British Columbia
- Full-time
P roficiency in data acquisition, analysis, and automation (e.g., Python, MATLAB).

Qualcomm

AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)

Markham, ON, Canada

$114,400.00 - $164,400.00 · Full-time

Apply on careers.qualcomm.com About employer

Applications open in a new tab.

Job details

Pay: $114,400.00 - $164,400.00
Job type: Full-time
Posting language: English
Posted: Jul 30, 2026

Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a member of the Low Power AI Solution team, you will conduct advanced research on model efficiency, model compression techniques, and ML system optimization to push the boundaries of efficient on‑device inference. You will lead and contribute to high-impact research initiatives, understand hardware–software interactions at a fundamental level, and collaborate with global teams to develop systems that shape future Qualcomm AI accelerator capabilities. New Position

Key Responsibilities

Conduct cutting-edge research in inference efficiency and ML system optimization: efficient architecture design, model compression, PEFT, compiler stack optimization etc.
Prototype and develop system solutions with software–hardware co-design to align architectural choices, dataflows, and memory behavior with Qualcomm’s low-power AI accelerators for optimal model deployment
Collaborate closely with modeling, compiler, and hardware teams to convert research into production-ready low power AI solutions, enabling real-world applications and commercial impact.
Influence future accelerator features and model deployment and contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.

Requirements

Proven research excellence on inference efficiency and ML system, demonstrated by publications, community contributions, or equivalent evidence of impact.
Deep expertise in neural network architectures, model compression (e.g., quantization, pruning, knowledge distillation) and efficient inference algorithm
Strong background on compiler stack and ML system optimization for AI accelerators (e.g., graph transformation, graph tiling and scheduling, tensor layout/memory optimization)
Strong understanding of Machine Learning fundamentals, strong programming skills with ML frameworks
Hands-on experience with model development pipelines for AI accelerator, including training, fine-tuning, evaluation, and performance optimization.

Preferred Qualifications

PhD in Computer Science, Electrical Engineering, or related fields or MS with AI research, or related work experience.
Extensive experience in deep learning research and impactful publications in top-tier machine learning venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.).
Experience in on-device model deployment and optimization algorithms for AI hardware accelerators
Experience working with a variety of stakeholders and ability to communicate complex outcomes to a wide range of audiences.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Pay range and Other Compensation & Benefits:

$114,400.00 - $164,400.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers.

Apply on careers.qualcomm.com About employer

More about this job

Responsibilities

You will conduct advanced research on model efficiency, compression techniques, and ML system optimization to enhance on-device inference. You will also collaborate with hardware and compiler teams to develop production-ready solutions for Qualcomm's AI accelerators.

Requirements

Candidates must have a strong background in machine learning fundamentals, compiler stack optimization, and model compression techniques. A bachelor's degree in a relevant field with at least 1-2 years of experience or a PhD is required.

Skills

Machine learning
Model compression
Inference efficiency
Embedded systems
Compiler stack
Neural network architectures
Quantization
Pruning
Knowledge distillation
Hardware-software co-design
AI accelerators
Graph transformation
Memory optimization
C++
Python
Deep learning

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Embedded Systems
Inference Efficiency
Model Compression
Quantization
Pruning
Knowledge Distillation
Compiler Stack
Hardware-Software Co-design
AI Accelerators
Graph Transformation
Memory Optimization
PEFT
Deep Learning
Neural Networks
Research
Algorithm Optimization
Dataflows
Embedded Intelligence
Performance Optimization
Model Deployment
Computer Science
Electrical Engineering
Qualcomm

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Jobs in Canada