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Added 5 mins ago
Temporary Assistant Caretaker (#052-WG)
Pembina Trails School Division
Winnipeg, MB
Full-time
…Assistant Caretaker accepts direction from the Caretaker 1 and/or Principal. The Assistant Caretaker also accepts direction from the evening Custodial Co-ordinator. At all times the…
Added 5 mins ago
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Full-time
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Urban Ridge Supplies

LLM Engineer

Markham, ON, Canada

Pay: $114,400.00 - $164,400.00
Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Preferred Qualifications:

Master's degree in Computer Science, Engineering, Information Systems, or related field.

5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

3 + years experience working in a large matrixed organization.

2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).

1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.

Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.

Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.

Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.

Oversees and conducts experiments to train and evaluate machine learning models and/or software.

Level of Responsibility:

Works independently with minimal supervision.

Provides supervision/guidance to other team members.

• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).

Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

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 .

Job Id: li7O7tKsAg1Aw1JZXVra6uV/hfGbPCSwrKDOYNxx8UXJs74BRan5cPp5g2h1xU6IKsqTrjVTz0wQzP/gM7ysn65xVaNzl1ISoyV01e+VdoVoYhEVtZal5b8XP1GPaF/CYg==

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More about this job

Responsibilities

The engineer will develop and optimize machine learning hardware and software solutions for edge, mobile, and IoT products. They will also collaborate with cross-functional teams to implement novel machine learning techniques and enhance model efficiency.

Requirements

Candidates must hold a degree in Computer Science, Engineering, or a related field with several years of relevant experience in hardware or software engineering. Proficiency in machine learning frameworks, programming languages, and embedded system development is required.

Skills

Machine learning
Tensorflow
Pytorch
Python
C++
Embedded systems
NLP
Statistics
Probability
Hardware engineering
Software engineering
Compiler tools
Model efficiency
Technical leadership
Linux
Android

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
Tensorflow
Pytorch
Caffe
Keras
Python
C
C++
Embedded Systems
NLP
Statistics
Probability
Linux
Android
QNX
Hardware Engineering
Software Engineering
Systems Engineering
Compiler Tools
Inference
Model Efficiency
IoT
Artificial Intelligence
Technical Leadership

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