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Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
T
AI/ML Engineer I
TD
Toronto, ON
- Full-time
We are looking for AI / ML Platform Engineer to deliver enterprise Gen AI capabilities and solutions on coding assistant platforms. The perfect candidate will have previous AI / ML cloud…
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
…maintaining high quality and performance. As a Senior Software Engineer – Backend, you will architect and develop core platform services, solving complex technical problems and shaping…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
7+ years of professional experience as a full stack or combined backend/frontend engineer.
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
Senior Data Platform Engineer
LawZero
Montreal, QC
We are seeking a visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models.
Added 1 month ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
- Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 1 month ago
Security Engineer, AWS Security
Amazon
Vancouver, BC
We're looking for a Security Engineer to join the team that secures the foundational Identity and crypto services powering AWS.
Added 1 month ago
Security Engineer, AWS Security
Amazon
Vancouver, BC
We're looking for a Security Engineer to join the team that secures the foundational Identity and Crypto services powering AWS.
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Added 1 month ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 3 months ago
GD
Systems Engineer, Air & Naval Sonar, Intermediate/Working Level
General Dynamics Missions System International
Ottawa, Ontario
- Full-time
General Dynamics Mission Systems–Canada is looking for an experienced System Engineer to join our A&N Sonar team. In this role, you’ll lead systems engineering efforts that can span form…
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 1 month ago
ML Engineer Manager, AI Conversation Platform
Stripe
Toronto, ON
Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 1 month ago
Senior Data Platform Engineer
Tubi - Canada
Toronto, ON
The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production.
Added 3 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment…
Added 1 month ago
Machine Learning Engineer, Lyft Business & Ads
Lyft
Toronto, ON
We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead,…
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
We are seeking a Senior AI Engineer to design, develop, and

RBC

Generative AI Data Scientist & ML Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 8+ years of research experience in Engineering, Computer Science or related fields with a focus on machine learning applications.
Posting language: English
Posted: Sep 9, 2026

Original job description

Job Description

What is the opportunity?

Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive in environments where innovation and cutting-edge research are at the forefront? We are offering an exciting opportunity to join our team as a Data Scientist / Researcher specializing in Generative AI Models. In this role, you will develop and optimize and use Large Language Models (LLM's), to solve complex problems and drive innovation in our AI solutions.

What will you do?

As a researcher in this role, you will focus on the technical implementation and optimization of large language models (LLMs) to bring autonomous AI agents to life within a corporate setting. Your responsibilities will include:

Fine-Tune LLMs: Customize and optimize pre-trained LLMs for specific corporate applications, ensuring high performance and accuracy in various NLP tasks such as text classification, summarization, and entity recognition.
Vector Search Methodology: Develop and implement advanced vector search techniques, including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant information.
Autonomous AI Agents: Design and build autonomous AI agents capable of performing complex tasks autonomously, such as customer service automation, data analysis, and decision-making support.
Data Preprocessing and Feature Engineering: Prepare and preprocess large datasets, perform feature extraction and engineering, and ensure data quality for training and validating models.
Model Evaluation and Tuning: Conduct thorough evaluations of model performance using appropriate metrics and benchmarks. Perform hyperparameter tuning to optimize model configurations.
Algorithm Development: Research and implement novel algorithms and techniques to improve model efficiency, scalability, and robustness.
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Continuous Improvement: Monitor model performance in production, diagnose issues, and implement improvements and updates as needed to maintain and enhance model effectiveness.
Collaborative Research: Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute to joint research projects.
Documentation and Knowledge Sharing: Document your methodologies, experiments, and findings comprehensively, and share knowledge with the team through presentations, reports, and technical discussions.

What do you need to succeed?

Must-Have:

Educational Background
- PhD or Master's degree in Engineering, Computer Science, Data Science, or a related field.
Research Experience
- 8+ years of research experience in Engineering, Computer Science or related fields with a focus on machine learning applications.
- Proven ability to handle and analyze large datasets (over terabytes of data) and deliver efficient models promptly.
Technical Skills
- Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
- Skilled in C++, MATLAB, SQL (MySQL), and R.
- Strong understanding of machine learning techniques, including supervised and unsupervised learning, classification, decision trees, deep neural networks, CNNs, RNNs, AutoEncoders, GANs, and Transformers.
- Experience with regression modeling, time series analysis, data mining, data cleaning, and ETL processes.
Tools and Platforms
- Familiarity with GitLab, GitHub, Bitbucket, JIRA, VSCode, Jupyter Notebook, Spyder, and Eclipse.
- Experience with cloud platforms and tools such as Databricks, Azure Databricks, and AWS S3.
Analytical and Problem-Solving Skills
- Exceptional analytical abilities with a talent for identifying model weaknesses and optimizing performance.
- Strong initiative in approaching complex problems with innovative solutions.
Interpersonal Skills
- Excellent communication skills with the ability to lead and collaborate within cross-functional teams.
- Proven organizational skills with the ability to manage multiple large-scale projects simultaneously.

Nice to Have:

Experience in developing machine learning algorithms for video recognition and computer vision applications.
Background in high-energy physics research and familiarity with international laboratory environments like CERN or similar.
Published research in reputable journals and contributions to significant projects in the AI and physics communities.
Recognition through awards or scholarships in related fields.

What's in it for you?

Work on groundbreaking AI projects that have a significant impact on the industry.
Be part of a forward-thinking team that values creativity and innovation.
Opportunities for continuous learning through training, workshops, and conferences.
Mentorship programs and career development plans to help you reach your goals.
Attractive salary and benefits package that rewards your expertise and contributions.
Performance bonuses and recognition programs.

#TECH-PJ

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-09

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

You will focus on the technical implementation, fine-tuning, and optimization of large language models to develop autonomous AI agents for corporate applications. Additionally, you will conduct research, manage data preprocessing, and ensure seamless deployment and integration of AI solutions into production environments.

Requirements

Candidates must hold a PhD or Master's degree in a relevant field and possess over 8 years of research experience in machine learning. Proficiency in Python, C++, SQL, and various deep learning frameworks is required, along with a strong background in handling large-scale datasets.

Skills

Generative AI
Large Language Models
Python
Machine Learning
Deep Learning
Natural Language Processing
Vector Search
PyTorch
TensorFlow
SQL
Data Engineering
Cloud Platforms
Algorithm Development
Autonomous Agents
Feature Engineering
Model Evaluation

Benefits

Attractive salary
Performance bonuses
Recognition programs
Mentorship programs
Career development plans

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Python
Machine Learning
Deep Learning
Natural Language Processing
Vector Search
PyTorch
TensorFlow
SQL
Data Engineering
Cloud Platforms
Azure Databricks
Autonomous Agents
Feature Engineering
Model Evaluation
NumPy
Pandas
Scikit-Learn
PySpark
C++
MATLAB
GitLab
GitHub
JIRA
VSCode
Jupyter Notebook
Data Mining
ETL
Transformers

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