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Algorithm Research Jobs in Toronto, ON (NOW HIRING)

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work ...

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research ...

... new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction ... Demonstrated research/software engineering experience: through previous internships, work ...

Research Coordinator

Toronto, ON · Hybrid

CA$63K/yr

Their work spans theoretical foundations, algorithm development, and experimental validation through state-of-the-art robotics and imaging facilities. The Research Coordinator will work closely with ...

... new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction ... Demonstrated research/software engineering experience: through previous internships, work ...

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

You will... - Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on ...

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially ...

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role ...

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Algorithm Research information

Is ML a high paying job?

Machine Learning (ML) roles, including those in algorithm research, are generally well-paid due to the high demand for specialized skills in data analysis, programming, and statistical modeling. Salaries vary based on experience, location, and industry, but advanced ML positions often offer competitive compensation compared to other tech roles.

What is algorithmic research?

Algorithm research involves studying and developing new algorithms to solve computational problems efficiently. It requires understanding theoretical concepts, analyzing algorithm performance, and often involves programming and testing in environments like Python or C++. This work supports advancements in fields such as artificial intelligence, data analysis, and software development.

What are the key skills and qualifications needed to thrive as an Algorithm Researcher, and why are they important?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

Which 3 jobs will survive AI?

Algorithm research jobs are likely to persist because they involve developing new algorithms and understanding complex data, tasks that require human creativity and critical thinking. Roles in healthcare, such as medical professionals, and skilled trades like electricians or plumbers, are also expected to remain in demand due to the need for hands-on expertise and human judgment. These jobs often require specialized knowledge, certifications, or physical skills that are difficult for AI to replicate fully.

Is AI replacing algorithms?

Algorithm research involves developing and improving algorithms, which are fundamental to AI systems. AI often relies on algorithms to process data and make decisions, but it does not replace the need for algorithm development; instead, AI advances can lead to new algorithmic techniques and improvements. Researchers in this field focus on creating efficient, effective algorithms that support AI applications and other computational tasks.

What is Algorithm Research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the typical challenges faced by professionals in Algorithm Research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

Infographic showing various Algorithm Research job openings in Toronto, ON as of July 2026, with employment types broken down into 3% Locum Tenens, 67% Full Time, 27% Part Time, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Full-time

Re-posted 7 days ago


Job description

Job Description

What is the opportunity?

RBC's AI Group is building the future of AI-powered banking, and our research teams are at the forefront of this transformation. Reporting to the VP, Applied AI Research & Solutions, the Senior Director, AI Research will lead a team of world-class machine learning researchers and research engineers to develop cutting-edge AI algorithms that directly power RBC's products and services.

This is a unique opportunity to bridge frontier AI research with real-world business impact. You'll work at the intersection of innovation and application by translating the latest advances in machine learning into production-ready solutions that serve millions of clients across credit, fraud detection, market intelligence, pricing optimization, and generative AI applications.

As a member of RBC Borealis AI, you'll leverage RBC's unique data assets and strategic partnerships to push the boundaries of what's possible in AI, while ensuring your work delivers measurable business value aligned with RBC's $1 billion AI ambition.

What will you do?

AI Research Leadership:

  • Lead and mentor a high-performing team of AI researchers and research engineers, fostering a culture of innovation, collaboration, and impact-driven solutions.
  • Direct the development of novel machine learning algorithms and models across one or more domains: credit risk, fraud detection, market prediction, pricing & optimization, or generative/agentic AI. Leverage RBC and external data to deliver differentiating solutions and intellectual property to the business.
  • Define AI roadmaps with ML models that balance advancing the state-of-the-art with delivering tangible business outcomes aligned to RBC's strategic priorities.
  • Build and retain top-tier AI talent by creating an environment that attracts leading researchers from both academia and industry.
  • Act as a thought leader and partner to RBC businesses and functions and advise on the art of the possible for AI in these domains.
  • Evaluate new areas for AI investment, complete proof of concept testing and evaluation.

Applied Research & Business Impact:

  • Partner closely with the VP, AI Research and Innovation team to operationalize frontier research and translate breakthroughs into applied solutions.
  • Collaborate with VP, Solutions Engineering & Delivery to ensure AI algorithms are production-ready, scalable, and integrated seamlessly into RBC's enterprise platforms.
  • Drive rapid experimentation and iteration to test and validate models against real-world business problems, ensuring measurable ROI.
  • Develop intellectual property and publish research findings that position RBC as a thought leader in AI innovation.

Cross-Functional Collaboration:

  • Act as a trusted technical advisor to business partners across RBC's lines of business, translating complex AI concepts into actionable insights.
  • Work with platform teams to leverage RBC's AI & data infrastructure (Lumina) for model development, training, and deployment.
  • Partner with AI Governance & Evaluation teams to ensure all models meet regulatory, ethical, and compliance standards.
  • Engage with external research communities, academic institutions, and industry partners to stay ahead of emerging AI trends and technologies.
  • Champion responsible AI practices, embedding fairness, transparency, and bias mitigation into the research lifecycle.
  • Identify opportunities to advance RBC's AI capabilities through experimentation with emerging technologies (e.g., foundation models, multimodal AI, reinforcement learning).
  • Contribute to RBC's AI thought leadership through publications, patents, conference presentations, and community engagement.

What do you need to succeed?

Must Have:

  • PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent industry experience.
  • 10+ years of experience developing and deploying machine learning models in industry settings, with at least 3-5 years in leadership roles and people management.
  • Experience translating research prototypes into production-grade solutions at scale, preferably in regulated industries (financial services, healthcare, etc.).
  • Strong publication record and recognized thought leadership in AI/ML (conference papers, patents, technical blogs, or open-source contributions).
  • Demonstrated ability to collaborate across technical and non-technical stakeholders, communicating complex concepts clearly to senior leadership.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Work at the cutting edge of AI: Access to RBC's unique data assets, world-class compute infrastructure, and strategic partnerships with leading AI research institutions.
  • Industry-leading research environment: Publish your work, attend top-tier conferences, and collaborate with renowned researchers from RBC Borealis and beyond.
  • Real-world impact: Your research will directly power products and services used by millions of clients across Canada and globally.
  • Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, and stock options.
  • Talent development: Leaders who support your growth through coaching, mentorship, and opportunities to shape RBC's AI strategy.
  • Dynamic, high-performing team: Work alongside some of the brightest minds in AI, machine learning, and financial services.
  • Opportunities for progressively greater impact: Shape the future of AI at one of the world's leading financial institutions.

#LI-POST

#TecPJ

Job Skills

Data Science, Decision Making, Emerging Technologies, Group Problem Solving, Machine Learning (ML), Multi-Level Communication, Programming Languages

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-24

Application Deadline:

2026-09-07

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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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.

Employment Type: FULL_TIME