Jobs in Canada

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Added 1 month ago
R
Senior Embedded Software Engineer
Ranovus
Ottawa, ON
- Full-time
Social networking, machine learning, and big data analytics demand ever-increasing network connectivity. RANOVUS, with operations in Ottawa, Canada, Nuremberg, Germany, and San Jose, USA,…
Added 1 month ago
HV
Optical Supply Chain Business Analyst
Hoya Vision Care
Mississauga, ON
- Full-time
…Vision Canada and its global manufacturing network while driving data-driven decision making through analytics, reporting, and business systems…
Added 1 month ago
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Senior Software Engineer, Test
Providius
Hamilton, ON
- Full-time
AI and ML systems: Python-based ML and LLM tooling, model and data pipelines, LLM integrations, and Model Context Protocol (MCP)
Added 1 month ago
GC
HIL Commissioning Engineer
Global Connect Technologies
Windsor, ON
- Full-time
Proficiency in Python scripting for test automation and data analysis.
Added 1 month ago
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Programmer – Aerospace Metrology Automation
Cyient
Longueuil, QC
- $90,000 to $120,000 CAD / year
- Full-time
Write Python code to read and interpret digital inspection requirement files in various formats such as XML, YAML, CSV, TXT, etc.
Added 1 month ago
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Backend Engineer
Bluehost
Canada
- Full-time
…of small-business websites. You'll own backend features in Python, on Linux, backed by MySQL, with real say in how we modernize this platform, and real input on technical decisions. Perl…
Added 1 month ago
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Senior Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
As a Senior Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device…
Added 1 month ago
Senior Launch Pad Operations Engineer (m/f/d)
Isar Aerospace SE
Canso, NS
Experience in data acquisition, reduction and evaluation (preferably involving Python)
Added 1 month ago
RB
Manager, Counterparty Credit Risk Models, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Strong data management and analysis skills (e.g. SQL and Excel).
Added 1 month ago
PA
Developer, QA Automation
Porter Airlines Inc.
Toronto, ON
- Full-time
We are seeking a Developer, QA Automation to build automated testing within our IT delivery teams. This role focuses on designing, developing, and maintaining automated test suites and…
Added 1 month ago
HN
Senior Software Engineer
Harvey Nash
Vancouver, BC
- $140,000 to $170,000 CAD / year
- Full-time
Python fluency and experience with job orchestration or data pipelines, plus instincts for observability and cost.
Added 1 month ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- Full-time
…committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable,…
Added 1 month ago
CO
Manager, Applied Researcher
Capital One
Toronto, ON
- Full-time
You are an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
Added 1 month ago
VI
AI Evaluation Scientist - Learning & Cognition
Vector Institute
Toronto, ON
- $125,800 to $157,300 CAD / year
- Full-time
Proficient in Python for research work, including building evaluation pipelines, analyzing data, and working with LLM APIs and evaluation tooling;
Added 1 month ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Must HaveCDP (Hadoop)
Added 1 month ago
S&
Senior Grid Interconnection Consultant
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…outcomes for our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design…
Added 1 month ago
HT
Intern Researcher- Audio, Speech & Acoustic AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Data Pipelines & Dataset Curation: Build robust data pipelines for synthetic and real-world acoustic data augmentation, simulation, and feature extraction (e.g., room impulse response…
Added 1 month ago
Manager, Enterprise Data Solutions
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Our offices currently operate on a hybrid model with three days in office
Added 1 month ago
AE
Distribution System Planning Engineer
ATCO Electric
AB · Edmonton, AB
- Full-time
Work collaboratively with Regional Planning, Transmission Planning, Asset Management, Substation Engineering and AESO.
Added 1 month ago
AS
Data Specialist
AgileGrid Solutions
Canada
- Full-time
The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of…
Added 1 month ago
Intern Analyst, Portfolio Construction
University Pension Plan
Toronto, ON
Currently pursuing an undergraduate or graduate degree in Mathematics, Engineering, Computer Science, or a related field.
Added 1 month ago
AI Security Engineer
Capco
Toronto, ON
As an AI Security Engineer, you will work at the intersection of software engineering, cybersecurity, and artificial intelligence. You will design and build security tools, assess…
Added 1 month ago
IS
Sr Python Developer
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks…
Added 1 month ago
GT
Databricks Engineer - Expert
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $95 CAD / hour
- Contract
…functionality within Databricks. The candidate will work daily with the Data Engineer Lead and client stakeholders, operating within a team that includes one Data Engineer Lead, five Senior…
Added 1 month ago
B
Associate, Quantitative Modeling
BMO
Toronto, ON · FCP
- Full-time
…mathematical/computational models developed and/or owned by Global Markets Engineering and used within BMO Capital Markets. Specific duties will…

Capital One

Manager, Applied Researcher

Toronto, ON, Canada

The expected annual salary range for this position is $173,000 to $197,400. · Full-time

Apply on capitalone.wd12.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The expected annual salary range for this position is $173,000 to $197,400.
Job type: Full-time
Work location: We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments
Posting language: English
Posted: Oct 13, 2026

Original job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Manager, Applied Researcher

About Capital One Canada

For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where your work directly shapes innovative solutions that impact millions of Canadians.

We're driven by fearless curiosity, bold innovation, and a collective of authentic people working together to redefine what's possible. Technology isn’t just part of our strategy, it is our strategy. Everything we do serves our vision and the creation of what's next.

About the Team
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.

About the Role

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The ideal candidate:

You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.

You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
You have a deep understanding of the foundations of AI methodologies.
You have experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
You are an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
You have experience in delivering libraries, platform level code or solution level code to existing products.
You are a professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
You possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.

Basic Qualifications:

Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research

Preferred Qualifications:

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
- PhD focus on NLP or Masters with 5 years of industrial NLP research experience
- Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
- Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
- Publications in deep learning theory
- Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
Optimization (Training & Inference)
- PhD focused on topics related to optimizing training of very large deep learning models
- Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
- Experience optimizing training for a 10B+ model
- Deep knowledge of deep learning algorithmic and/or optimizer design
- Experience with compiler design
Finetuning
- PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
- Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
- Experience deploying a fine-tuned large language model

Working at Capital One

You’ll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.

Take ownership of your own potential: Whether you’re looking to upskill, pivot into new business areas, or master your craft, you’ll have access to tools and mentorship to reach your potential and define your career trajectory.
Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.
Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You’ll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary range for this position is $173,000 to $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Apply on capitalone.wd12.myworkdayjobs.com About employer

More about this job

Responsibilities

You will partner with cross-functional teams to develop and implement AI-powered products using advanced machine learning techniques. This role involves managing the full research lifecycle, from design and training to production deployment of foundation models.

Requirements

Candidates must hold a PhD or a Master's degree with at least 2 years of experience in a relevant technical field. You should have a strong engineering mindset and a proven track record of delivering large-scale deep learning models.

Skills

Machine learning
Artificial intelligence
Deep learning
Pytorch
AWS
Huggingface
Lightning
VectorDBs
Large language models
NLP
Self-supervised learning
Training optimization
Model compression
Transfer learning
Data science
Software engineering

Benefits

Health coverage for spouses and dependents
Work from home allowance
Mental health coverage
Annual tuition subsidies

Visa sponsorship

Not detected in the job text

Keywords

Machine learning
Artificial intelligence
Deep learning
Pytorch
AWS
Huggingface
Lightning
VectorDBs
Large language models
NLP
Self-supervised learning
Training optimization
Model compression
Transfer learning
Data science
Software engineering
Cloud computing
Compiler design
Instruction-tuning
Model sparsification
Quantization
Gradient checkpointing
Applied research
Banking
Product development
Python
Research agenda
Scalable infrastructure
Data analysis
Stakeholder management

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Work requirements

Jobs in Canada