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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
Experience in software development with proficiency in Python, Java, or C++.
Added 1 month ago
L
Advanced Packaging & Integration Co-op Student
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Familiarity with Python, computer vision, and AI is considered a strong asset.
Added 1 month ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Added 1 month ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
Experience in software development with proficiency in Python, Java, or C++.
Added 3 months ago
AI Engineering Intern, Voice & LLM Systems
Presto
Ontario
Experiment with LLM-based systems, including prompt design, workflow iteration, and behavioral testing.
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
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
Proficiency and production experience with one or more backend languages such as Golang, Python, or Java.
Added 3 months ago
B
QNX Senior Security Researcher
BlackBerry
Ottawa, ON
- Full-time
…hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and…
Added 3 months ago
B
QNX Senior Security Researcher
BlackBerry
Ottawa, Ontario
- Full-time
…hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
…unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen…
Added 4 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with enterprise standards, security, and accessibility
Added 4 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with business and technical requirements
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
…workflows. You’ll define how creators build, extend, and interact with the platform - through robust APIs, scalable systems, and intuitive scripting - while enabling AI-driven tooling that…
Added 4 months ago
S
Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
…helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations…
Added 3 months ago
A
AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
…engineers, ML engineers, and application developers to execute with clarity and…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
…technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 1 month ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Expertise in automation using Python, Bash, Terraform, Ansible, and integration with GitLab CI/CD pipelines.
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 4 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
…millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI - risk, fraud, collections, payments, support, developer experience - and…

RBC

Generative AI Data Scientist & ML Engineer

Toronto, ON, Canada

Full-time

This date has passed. Check with the employer before applying.

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Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: 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.

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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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