Jobs in Canada

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Added 1 day ago
UKG Pro WFM Technical Integrations (Dell Boomi Lead)- Manager
EY
Winnipeg, MB · Toronto, ON · Montreal, QC · Quebec, QC · Saskatoon, SK · Halifax, NS · St. John's, NL · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Waterloo, ON · Calgary, AB
To qualify for the role, you must have:
Added 1 day ago
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Insurance Business Analyst
UST
ON · Ontario, Canada
- Full-time
Data and AI: analytics strategy, data platforms, generative AI use cases in service and claims
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 1 day ago
CI
Data Engineer
Citylitics Inc.
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
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Directeur(trice), Stratégie de formation et optimisation des processus/ Director, Training Strategy & Process Enablement
Moderna
Laval, QC
- Full-time
…capacités émergentes, notamment l’intelligence artificielle générative, afin d’améliorer l’accès aux connaissances, le développement de contenu, la personnalisation de l’apprentissage et…
Added 1 day ago
D-
Vice-Président TI (Développement Logiciel)
DELAN - IT Talent Solutions
Longueuil, QC
- Full-time
Expertise en IA générative appliquée au développement logiciel
Added 1 day ago
UKG Pro WFM Scheduling Lead- Manager
EY
Toronto, ON · Montreal, QC · Vancouver, BC · Edmonton, AB · AB · Calgary, AB
To qualify for the role, you must have:
Added 1 day ago
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Operate Contact Center as a Service - Technology Specialist
Deloitte
Toronto, ON
- Full-time
Experience implementing Virtual Agents, conversational AI or generative AI in a customer service environment.
Added 1 day ago
IS
Lead Front-End Developer
Iris Software Inc.
Toronto, ON
- Contract
Iris's Fortune 100 direct client is looking for a Lead Front-End Developer in Toronto, ON. Please find the job description below:
Added 1 day ago
C
DevOps Engineer
Capgemini
Mississauga, ON
- Full-time
Added 1 day ago
C
Senior Director, Information Security and End-User Technology (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Montreal, QC
- Full-time
Co-develop a governance, compliance and ethical framework for the enterprise-wide use of AI and generative AI, assessing specific risks throughout their life cycle.
Added 1 day ago
WT
Senior DevOps / Platform Engineer (Full Stack)
Wissen Technology
Montreal, QC
- Full-time
You will own the infrastructure-as-code, CI/CD, and developer experience for our applications while also contributing hands-on to application code and automation tooling. You will…
Added 1 day ago
Senior AI Programmer
Epic Games
Montreal, QC
…core NPC technology (behavior, perception, navigation, in-game generative Al, etc.) that powers characters in UE, Fortnite, and UEFN. You'll work on the systems every UE and UEFN developer…
Added 1 day ago
K
Technical Talent Acquisition Specialist
Kindsight
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
…that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the…
Added 1 day ago
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Software Engineer III - Tech Lead (Golang)
TD
Toronto, ON
- Full-time
Must Havehat We're Looking For
Added 1 day ago
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Manager, Field Service
Rivian
Vaughan, ON
- Full-time
Must possess a valid driver's license and clean driving record
Added 2 days ago
GC
Technical Art Director - CCTG Imaginarium
Game Companies
Montreal, QC
- Full-time
As a Technical Art Director at Ubisoft Montréal in the CCTG Imaginiarum team, you will help production teams integrate generative artificial intelligence into their workflows. You will…
Added 2 days ago
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Senior Technology Director - Merchandise Planning
lululemon
Vancouver, BC
- Full-time
Deep understanding of machine learning, NLP, computer vision, and generative AI techniques.
Added 2 days ago
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AI Engineer
Virtusa
Toronto, ON
- Full-time
Design, develop, and deploy Generative AI solutions using AWS services.
Added 2 days ago
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Développeur BI
CGI
Montreal, QC
- Full-time
Developer BI – AWS and Microsoft Fabric with AI knowledge
Added 2 days ago
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Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
Explore and implement emerging technologies, including artificial intelligence, generative AI, and intelligent automation, where they can deliver meaningful operational improvements.
Added 2 days ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
Explore and implement emerging technologies, including artificial intelligence, generative AI, and intelligent automation, where they can deliver meaningful operational improvements.
Added 2 days ago
Q
Multiple roles in Machine Learning & Deep Learning NeurIPS 2026
Qualcomm
Markham, ON
- Full-time
…efficiency, representation learning, perception and understanding, generative and foundation models, reasoning and agentic intelligence, and embodied and physical AI. Our research…
Added 2 days ago
SC
SAP iXp Intern – CIS Software / AI Developer
SAP Careers
Montreal, QC
- $18 to $36 CAD / hour
- Other
…alongside experienced AI engineers, developing expertise in generative AI, agentic systems, and enterprise software. When you join SAP, you'll be a part of SAP Next Gen - a global community…
Added 2 days ago
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Sales Manager
Landed
Remote, Canada
- $80,000 to $95,000 CAD / year
- Full-time
- Remote
…engagement, and interview scheduling. Our intelligent matching and Generative AI technology connects candidates to employers, screening on 50+ data points – helping hire better candidates…

Qualcomm

Multiple roles in Machine Learning & Deep Learning NeurIPS 2026

Markham, ON, Canada

$178,200.00 - $267,400.00 · Full-time

Apply on careers.qualcomm.com About employer

Applications open in a new tab.

Job details

Pay: $178,200.00 - $267,400.00
Job type: Full-time
Posting language: English
Posted: Nov 12, 2026

Original job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

Qualcomm AI Research is seeking world-class researchers to help push the boundaries of artificial intelligence and machine learning. Our team pioneers new algorithms, models, and systems that advance the state of the art while delivering exceptional performance with unprecedented power, memory, and computational efficiency.

Our multidisciplinary team brings together expertise across algorithms, software, hardware, and systems. We pursue fundamental and applied research, from foundational theories and novel learning algorithms to efficient AI systems deployed on resource-constrained devices. Working closely with Qualcomm's business and engineering teams, we translate research breakthroughs into technologies deployed worldwide across mobile, compute, automotive, robotics, cloud, XR, and IoT platforms, while publishing at leading AI conferences.

Our team has demonstrated world-first research breakthroughs and proof-of-concepts across model efficiency, representation learning, perception and understanding, generative and foundation models, reasoning and agentic intelligence, and embodied and physical AI. Our research contributions have earned numerous best paper awards, major research competition wins, and top rankings on AI and computer vision benchmarks. We also translate these breakthroughs into highly optimized AI models, end-to-end workflows, and developer tools for Qualcomm platforms, making many innovations accessible to all. Explore our research and innovations:

Role Responsibilities:

Research interns will contribute to fundamental and applied research in artificial intelligence and machine learning, developing novel algorithms, models, and systems that advance the state of the art. Research opportunities span a broad range of areas, including:

Generative AI and Foundation Models: Large language models (LLMs), multimodal foundation models, vision-language models (VLMs), vision-language-action models (VLAs), world models, and generative modeling for language, image, video, audio, and 3D content. Research topics include diffusion and autoregressive models, mixture-of-experts, parallel decoding, long-context modeling, and knowledge distillation.
Agentic AI and Reasoning: Autonomous agents, multi-agent systems, reasoning, planning, and verification; memory management, retrieval-augmented generation (RAG), inference-time optimization, robustness, alignment, AI safety, and hallucination mitigation.
Efficient and Scalable AI: Novel neural architectures, efficient attention mechanisms, transformers, state-space models, and recurrent networks; model compression, pruning, quantization, neural architecture search, parameter-efficient fine-tuning, and efficient training and inference. Research also includes on-device AI, edge-cloud learning, distributed training, hardware-aware optimization, and compiler and kernel optimizations.
Learning, Perception, and Embodied AI: Self-supervised, reinforcement, imitation, contrastive, and continual learning; few-shot learning, personalization, domain adaptation, and uncertainty estimation. Applications include computer vision, 3D perception, neural rendering, speech AI, autonomous driving, robotics, embodied intelligence, and human-AI interfaces.

Depending on the research project, internship responsibilities may include:

Conducting original research, developing novel machine learning algorithms and architectures, and designing, training, and evaluating AI models to advance the state of the art.
Developing efficient AI systems and software frameworks, including optimization for mobile, edge, and cloud platforms.
Exploring emerging computing paradigms, including hardware-software co-design, compute-in-memory, and distributed or federated learning.
Collaborating with researchers and engineers to prototype, validate, and communicate research findings, with opportunities to contribute to scientific publications and technology transfer.

Minimum Qualifications:

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

• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

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).

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.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range and Other Compensation & Benefits:

$178,200.00 - $267,400.00

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 – and you can review more details about our US benefits at this link.

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

Research interns will develop novel machine learning algorithms, models, and systems to advance the state of the art in artificial intelligence. They will collaborate with multidisciplinary teams to prototype, validate, and optimize AI solutions for mobile, edge, and cloud platforms.

Requirements

Candidates must hold a Master's or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field. Applicants are required to have relevant industry experience and at least 6 months of experience in developing or optimizing machine learning models.

Skills

Machine Learning
Deep Learning
Generative AI
Foundation Models
Large Language Models
Computer Vision
Reinforcement Learning
Model Compression
Quantization
Neural Architecture Search
Distributed Training
Hardware-aware Optimization
Autonomous Agents
Robotics
Embodied AI
Algorithm Development

Benefits

Annual discretionary bonus program
Annual RSU grants
Health benefits
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Generative AI
Foundation Models
LLMs
Computer Vision
Reinforcement Learning
Model Compression
Quantization
Neural Architecture Search
Distributed Training
Hardware-aware Optimization
Autonomous Agents
Robotics
Embodied AI
Algorithm Development
Diffusion Models
Autoregressive Models
RAG
Inference-time Optimization
Neural Rendering
Speech AI
Autonomous Driving
Federated Learning
Hardware-software Co-design
Qualcomm AI Research
Research Intern
Artificial Intelligence
Edge AI
Cloud Platforms

Seniority

Entry level

Perks

Performance bonus
Stock or equity

Fields of study

Computer Science
Computer Engineering
Electrical Engineering

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Work requirements

Jobs in Canada