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Added 4 hours ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- $100,000 to $130,000 CAD / year
- Full-time
Our products also increasingly include AI and machine-learning functionality, including LLM-based assistants and integrations with AI clients. These systems introduce a different class of…
Added 7 hours ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- Full-time
Our products also increasingly include AI and machine-learning functionality, including LLM-based assistants and integrations with AI clients. These systems introduce a different class of…
Added 8 hours ago
HT
Intern Researcher- Audio, Speech & Acoustic AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
…Processing Research team. In this role, you will work closely with senior researchers and engineers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic…
Added 1 day ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
Expertise in quantum algorithms, especially for quantum chemistry and quantum machine learning.
Added 6 days ago
AH
Senior Epidemiologist – Precision Analytics, Cancer Care Alberta
Alberta Health Services
AB · Greater Edmonton Metropolitan Area
- Temporary
We have an exciting opportunity for a Senior Epidemiologist to help shape the future of cancer care in Alberta through advanced analytics and evidence-informed decision-making. At Cancer…
Added 10 days ago
M
Chercheur(euse) principal(e) - Apprentissage automatique / Senior Researcher - Machine Learning
Microsoft
Montreal, QC
- Full-time
We are seeking a Senior Researcher to join our team and contribute to the advancement of key projects around agentic coding.
Added 11 days ago
Quantitative Equity Analyst Reliability Engineering
CCLIM - Quantitative Equity
Vancouver, BC
Facilitate production machine learning operational pipelines with effective and timely auditing and analysis.
Added 11 days ago
Quantitative Equity Analyst Process Engineering
CCLIM - Quantitative Equity
Vancouver, BC
Facilitate production machine learning operational pipelines with effective and timely auditing and analysis.
Added 11 days ago
Quantitative Equity Analyst
CCLIM - Quantitative Equity
Vancouver, BC
Facilitate production machine learning operational pipelines with effective and timely auditing and analysis.
Added 14 days ago
E
Applied Researcher 3 - Multimodal AI
eBay
Toronto, ON
- Full-time
This team works at the intersection of visual computing, multimodal data integration, and large-scale machine learning systems. We build and deploy production models and agentic pipelines…
Added 14 days ago
Senior Power Electronics Researcher
National Research Council Canada
Hamilton, ON
We are looking for a Senior Power Electronics Researcher to support our e-Auto Challenge Program hosted by the Automotive and Surface Transportation (AST) Research Centre. The successful…
Added 14 days ago
Junior Research Officer, High Temperature Materials
National Research Council Canada
Ottawa, ON
The primary responsibility of the Junior Researcher is to develop and apply, in collaboration with internal and external partners, predictive models including machine learning (ML),…
Added 15 days ago
HC
Senior Researcher – Computer Vision and Image Processing / Chercheur principal - Vision par ordinateur et traitement d'images
Huawei Canada
Montreal, QC
- Contract
Huawei Canada has an immediate 12-month contract job opening for a Senior Researcher-Computer Vision and Image Processing.
Added 19 days ago
T
Data Science Developer
Transit
Montreal, QC
- $90,000 to $125,000 CAD / year
- Full-time
Build production-grade machine learning systems for problems like ETA prediction, demand forecasting, and anomaly detection on real-time feeds
Added 19 days ago
Staff UX Researcher
Okta
Toronto, ON
Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning.
Added 19 days ago
O
Staff UX Researcher
Okta
Toronto, ON
- $140,000 to $193,000 CAD / year
- Full-time
Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning.
Added 26 days ago
HT
Senior Principal Researcher - AI Data Platform
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Huawei Canada has an immediate permanent opening for a Senior Principal Researcher.
Added 25 days ago
LE
Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Working closely with senior and lead researchers, engineers, and product teams, you will apply agentic AI concepts - such as lifelong learning, hierarchical memory, and personalized…
Added 29 days ago
UO
Canada Impact+ Emerging Leader in Computational Oncology
University of British Columbia
Vancouver, BC · VCH | Vancouver General Hospital - Gordon and Leslie Diamond Health Care Centre (VGHHCC)
- Full-time
…in computational oncology, centred on new quantitative and machine-learning methods, including artificial intelligence and generative modelling, that integrate single-cell genomics and…
Added 28 days ago
TU
Canada Impact+ Emerging Leader in Computational Oncology
The University of British Columbia
Vancouver, BC
- Full-time
…in computational oncology, centred on new quantitative and machine-learning methods, including artificial intelligence and generative modelling, that integrate single-cell genomics and…
Added 1 month ago
HC
Researcher – 3D Computer Vision and Generative Modeling
Huawei Canada
Markham, ON
- Full-time
Huawei Canada has an immediate permanent opening for a Senior Researcher.
Added 1 month ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
Expertise in quantum algorithms, especially for quantum chemistry and quantum machine learning.
Added 1 month ago
A
Senior Software Engineer, Inference
AssemblyAI
Toronto, ON
- $190,000 to $225,000 USD / year
- Full-time
Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.
Added 1 month ago
HT
Senior Researcher – Computer Vision & Human-Centered AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Huawei Canada has an immediate Permanent opening for a Senior Researcher.
Added 1 month ago
A
Senior Software Engineer, Inference
AssemblyAI
Canada
- $190,000 to $225,000 USD / year
- Full-time
Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.

mtl.ai

Senior Research Engineer – Machine Learning, Computer Vision

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English · French
Posted: Aug 19, 2026

Original job description

English section of this bilingual listing.

Location: Montreal QC, Canada (Hybrid) | Company: MTL.AI | Impact: 100M+ Global Viewers

TL;DR

The Mission: Developing real-time, semantic segmentation systems for premier global sports broadcasts.
The Tech Stack: Expert-level python, CUDA/GLSL, C++, and Multi-view Geometry.
The Environment: High-trust culture that prioritizes technical excellence and productivity.
The Ideal Candidate: A self-directed researcher-engineer who values meticulous refinement and thrives when solving ambitious, high-stakes problems.
The Reward: Professional autonomy, competitive compensation, and an employee equity stock option plan in a high-impact technology firm.

At MTL.AI, we provide the underlying technology that powers marketing and graphics for the world’s most significant live sporting events. Our work is executed in real-time and viewed by hundreds of millions of people globally. In this high-visibility environment, there is no margin for error. We are seeking a Senior Engineer who understands that "excellence" is not a static goal, but a continuous process of refinement.

Core Philosophy: Autonomy & Rigor

Autonomy and flexibility in both the technical direction and working environment are fundamental to our culture. We empower our engineers to own their domains entirely.

Navigating Ambiguity: You will be expected to manage uncertainty within both the scientific research and the operational execution.
Iterative Excellence: True quality in live broadcast vision requires a commitment to exhaustive testing. We seek individuals who are dedicated to refining models - repeatedly and rigorously - until the output meets the highest possible standards of precision.
Meticulous Attention to Detail: Small subtleties in segmentation masks or tracking stability become magnified on a global stage. You should be someone who naturally prioritizes the fine details that others might overlook.

Key Responsibilities

Real-Time Semantic Segmentation: Architecting and deploying high-performance segmentation models with millisecond-level latency requirements.
Unsupervised Learning Research: Designing creative, self-supervised solutions for complex vision problems where labeled data may be scarce or highly specialized.
Algorithm Development: Implementing state-of-the-art vision and graphics algorithms in C++ and CUDA, bridging the gap between theoretical research and production-grade software.
Spatial Intelligence: Leveraging multi-view geometry and numerical optimization to ensure seamless integration of digital assets into live video streams.

Candidate Profile

Scientifically Creative: You possess the ability to find non-traditional solutions to complex problems when standard industry approaches reach their limits.
Self-Directed & Proactive: You do not require a roadmap to be productive. You are driven by the problem itself and possess the discipline to manage your own objectives.
A "Mind and Hand" Engineer: You are equally comfortable reading the latest research papers as you are writing optimized, low-level code to implement them.
Collaborative Maturity: While you work with a high degree of independence, you maintain a professional, collaborative spirit that elevates the team.

Technical Requirements

Systems Mastery: Professional fluency in C++ and Python.
Parallel Computing: Demonstrated experience in GPU programming (CUDA or GLSL).
Mathematical Foundation: Strong expertise in Multi-view Geometry and Numerical Optimization.
Application: Proven track record of deploying Machine Learning or Deep Learning models within real-world, high-performance environments.
Preferred: A PhD in Computer Science, Mathematics, Physics, or a related quantitative field.

Compensation and Benefits

Autonomy: Flexibility regarding working hours and vacation.
Equity: Participation in the employee stock option plan.
Culture: A small, elite team of specialists that works as a team.
Visibility: The opportunity to see your work on live TV, being utilized by the world’s premier sports organizations.

French

Read the full bilingual original

Location: Montreal QC, Canada (Hybrid) | Company: MTL.AI | Impact: 100M+ Global Viewers

TL;DR

The Mission: Developing real-time, semantic segmentation systems for premier global sports broadcasts.
The Tech Stack: Expert-level python, CUDA/GLSL, C++, and Multi-view Geometry.
The Environment: High-trust culture that prioritizes technical excellence and productivity.
The Ideal Candidate: A self-directed researcher-engineer who values meticulous refinement and thrives when solving ambitious, high-stakes problems.
The Reward: Professional autonomy, competitive compensation, and an employee equity stock option plan in a high-impact technology firm.

Core Philosophy: Autonomy & Rigor

Autonomy and flexibility in both the technical direction and working environment are fundamental to our culture. We empower our engineers to own their domains entirely.

Navigating Ambiguity: You will be expected to manage uncertainty within both the scientific research and the operational execution.
Iterative Excellence: True quality in live broadcast vision requires a commitment to exhaustive testing. We seek individuals who are dedicated to refining models - repeatedly and rigorously - until the output meets the highest possible standards of precision.
Meticulous Attention to Detail: Small subtleties in segmentation masks or tracking stability become magnified on a global stage. You should be someone who naturally prioritizes the fine details that others might overlook.

Key Responsibilities

Real-Time Semantic Segmentation: Architecting and deploying high-performance segmentation models with millisecond-level latency requirements.
Unsupervised Learning Research: Designing creative, self-supervised solutions for complex vision problems where labeled data may be scarce or highly specialized.
Algorithm Development: Implementing state-of-the-art vision and graphics algorithms in C++ and CUDA, bridging the gap between theoretical research and production-grade software.
Spatial Intelligence: Leveraging multi-view geometry and numerical optimization to ensure seamless integration of digital assets into live video streams.

Candidate Profile

Scientifically Creative: You possess the ability to find non-traditional solutions to complex problems when standard industry approaches reach their limits.
Self-Directed & Proactive: You do not require a roadmap to be productive. You are driven by the problem itself and possess the discipline to manage your own objectives.
A "Mind and Hand" Engineer: You are equally comfortable reading the latest research papers as you are writing optimized, low-level code to implement them.
Collaborative Maturity: While you work with a high degree of independence, you maintain a professional, collaborative spirit that elevates the team.

Technical Requirements

Systems Mastery: Professional fluency in C++ and Python.
Parallel Computing: Demonstrated experience in GPU programming (CUDA or GLSL).
Mathematical Foundation: Strong expertise in Multi-view Geometry and Numerical Optimization.
Application: Proven track record of deploying Machine Learning or Deep Learning models within real-world, high-performance environments.
Preferred: A PhD in Computer Science, Mathematics, Physics, or a related quantitative field.

Compensation and Benefits

Autonomy: Flexibility regarding working hours and vacation.
Equity: Participation in the employee stock option plan.
Culture: A small, elite team of specialists that works as a team.
Visibility: The opportunity to see your work on live TV, being utilized by the world’s premier sports organizations.

French

Lieu : Montréal QC, Canada (Hybride) | Entreprise : MTL.AI | Impact : Plus de 100 millions de téléspectateurs à l’échelle mondiale

En bref (TL;DR)

La mission : Développer des systèmes de segmentation sémantique en temps réel pour la diffusion d'événements sportifs majeurs à l'échelle mondiale.
La pile technique : Expertise avancée en Python, CUDA/GLSL, C++ et géométrie multi-vues.
L'environnement : Une culture axée sur la confiance, la productivité et l'excellence technique.
Le profil idéal : Un·e chercheur·se-ingénieur·e autonome qui valorise le perfectionnement minutieux et s'épanouit face à des défis complexes et stratégiques.
La récompense : Autonomie professionnelle, rémunération globale attractive et plan d'options d'achat d'actions (ESOP) au sein d'une entreprise technologique à fort impact.

Chez MTL.AI, nous concevons la technologie sous-jacente qui alimente le marketing et la création graphique des plus grands événements sportifs en direct au monde. Notre travail est exécuté en temps réel et visionné par des centaines de millions de personnes à l'échelle globale. Dans cet environnement à haute visibilité, aucune erreur n'est permise. Nous recherchons un·e ingénieur·e senior qui comprend que l'excellence n'est pas un état figé, mais un processus d'amélioration continue.

Philosophie fondamentale : Autonomie et rigueur

L'autonomie et la flexibilité, tant dans les choix techniques que dans le cadre de travail, constituent le cœur de notre culture. Nous donnons à nos ingénieur·es une pleine responsabilité sur leur périmètre.

Naviguer dans l'ambiguïté : Vous saurez gérer l'incertitude, aussi bien dans la recherche scientifique que dans l'exécution opérationnelle.
Excellence itérative : La qualité en direct exige des tests poussés et continus. Nous recherchons des profils passionnés par l'optimisation rigoureuse de leurs modèles jusqu'à l'obtention d'une précision irréprochable.
Souci du détail : Les moindres imperfections dans les masques de segmentation ou la stabilité du suivi se trouvent démultipliées à l'écran. Vous accordez une attention naturelle aux finitions qui échappent souvent aux autres.

Responsabilités Clés

Segmentation sémantique en temps réel : Concevoir et déployer des modèles de segmentation haute performance répondant à des contraintes de latence de l'ordre de la milliseconde.
Recherche en apprentissage non supervisé : Élaborer des solutions auto-supervisées novatrices pour des problématiques visuelles complexes où les données annotées sont rares ou très spécialisées.
Développement algorithmique : Implémenter des algorithmes de vision et de rendu graphique de pointe en C++ et CUDA, assurant le lien entre recherche théorique et code de production.
Intelligence spatiale : Exploiter la géométrie multi-vues et l'optimisation numérique pour intégrer de manière fluide des éléments graphiques 3D dans des flux vidéo en direct.

Profil recherché

Créativité scientifique : Capacité à concevoir des solutions originales lorsque les approches conventionnelles de l'industrie atteignent leurs limites.
Autonomie et proactivité : Capable de progresser sans feuille de route prédéfinie, vous êtes stimulé·e par la résolution du problème et structurez vos propres objectifs.
Polyvalence théorique et pratique : Tout aussi à l'aise dans la lecture d'articles de recherche récents que dans l'écriture de code bas niveau hautement optimisé.
Maturité collaborative : Esprit d'équipe affirmé et communication fluide, combinés à une grande indépendance d'exécution.

Exigences Techniques

Maîtrise des systèmes : Maîtrise professionnelle de C++ et Python.
Calcul parallèle : Expérience confirmée en programmation GPU (CUDA ou GLSL).
Fondations mathématiques : Solide expertise en géométrie multi-vues et en optimisation numérique.
Déploiement : Expérience concrète de mise en production de modèles d'apprentissage automatique ou de deep learning dans des environnements à haute performance.
Atout : Doctorat (Ph.D.) en informatique, mathématiques, physique ou domaine quantitatif équivalent.

Rémunération et Avantages

Autonomie : flexibilité dans la gestion des horaires et des congés.
Capital : Accès au plan d'options d'achat d'actions de l'entreprise.
Culture : Équipe restreinte d'experts travaillant dans un esprit de forte collaboration.
Visibilité : La satisfaction de voir vos algorithmes fonctionner en direct à la télévision pour les plus grandes organisations sportives mondiales.

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More about this job

Responsibilities

Architect and deploy high-performance real-time semantic segmentation models for global sports broadcasts. Develop state-of-the-art vision and graphics algorithms using C++ and CUDA to integrate digital assets into live video streams.

Requirements

Requires professional fluency in C++ and Python with demonstrated experience in GPU programming and multi-view geometry. A PhD in Computer Science, Mathematics, Physics, or a related quantitative field is preferred.

Skills

Python
C++
CUDA
GLSL
Multi-view Geometry
Numerical Optimization
Semantic Segmentation
Unsupervised Learning
GPU Programming
Deep Learning
Machine Learning
Computer Vision

Benefits

Professional Autonomy
Competitive Compensation
Employee Equity Stock Option Plan
Flexible Working Hours
Flexible Vacation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Semantic Segmentation
CUDA
GLSL
C++
Python
Multi-view Geometry
Numerical Optimization
Unsupervised Learning
Deep Learning
GPU Programming
Real-time Systems
Spatial Intelligence
Software Development
Sports Broadcasts

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