ai-research-scientist

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by branches & serves approximately 22 million customers in a number of locations in key financial centres around the globe. Over 85,000 TD employees represent the strongest team in banking. Delivering legendary customer experiences is who we are & is part of being the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.

• Research, develop, and apply new techniques in deep learning to advance our industry leading products
• Work with large-scale, real-world datasets that range from banking transactions, to large document collections
• Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
• Represent the team at leading ML conferences, present your research, and stay at the forefront of the field

AI Research Intern

AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large-scale datasets and representing the team at ML conferences.

Osedea is a sought-after software development company that blends ingenuity, technical prowess, and heart to help you create the future you envision for your company. The solutions we build come to life through true teamwork with you. 

We specialize in really listening, diving deep into the core of your business, and crafting the perfect creative solution to meet and exceed your needs. Whether you’re looking for a web or mobile application, or a piece of custom software, we'll take the stress out of your digital transformation. 


Reasons to partner with us:

✅ Our Development studio in Montreal house top-notch technical talent that is equipped to service clients around the globe.

✅ Our team eats, sleeps, and breathes technology. We focus on performance, efficient processes, and high quality work. And, because we love what we do, we have a blast working with our clients.

✅ We take care of our team with competitive salaries, tangible benefits, location flexibility, and innovative programs that ensure high engagement and low turnover. In a nutshell, we believe in investing in our employees (translation: we put our money where our mouth is).

✅ We anticipate our clients’ needs by exploring cutting-edge technologies that accelerate digital transformation and boost their bottom line (like the work we’re doing with Spot robot as a Boston Dynamics partner for Canada). This type of work also provides incredible growth opportunities for our team members.

✅ We’re SOC 2 Type 2 certified, so you can rest assured we take your security seriously.

With us in your back pocket, a healthy new revenue stream could be just a few weeks away. Code forth and prosper, with Osedea.

Osedea

• Build and deploy AI solutions that deliver measurable business impact
• Identify high-value opportunities to apply AI technologies and tooling
• Develop software aligned with specifications and documentation (SRS, C4)
• Define, document, and communicate non-functional requirements (performance, reliability, security, maintainability)
• Turn experiments into production-ready components (evaluation, monitoring, iteration)
• Coach colleagues on applied AI best practices and implementation approaches
• Take initiative, own deliverables end-to-end, and manage priorities effectively
• Uphold and strengthen software development guidelines and quality standards
• Research, test, and implement new techniques, models, and tools
• Advise clients on technical direction, trade-offs, and solution design

Applied AI Scientist

Applied AI Scientist designing and deploying AI solutions that address real client problems. Combining software engineering with AI/ML expertise in a collaborative team environment.

Crafting our talents.We believe that #sustainable #businesses live on a well-crafted #software. We build exceptional applications thanks to our remarkable culture of #craftsmanship.

Nexapp

• Contribute to structuring the AI practice
• Help define the methodology, tools, governance and training required to support our AI projects
• Help establish quality, security and ethics standards specific to the practice
• Actively participate in the AI guild to create a clear, sustainable framework
• Train and grow the team
• Evaluate current skills of developers and project managers
• Create an upskilling plan (training, workshops, seminars, coaching)
• Foster a genuine internal AI and data culture and measure its progress
• Collaborate with client teams to identify opportunities where AI can generate real value
• Participate in the development and integration of AI models into concrete solutions (data preparation, training, monitoring)
• Design demonstrators and proofs of concept that illustrate AI’s impact on client challenges
• Support the business engineering team in evaluating AI opportunities
• Contribute to the preparation of grant applications and the structuring of commercial AI offerings
• Support go-to-market activities by sharing your expertise and helping clients understand the value of AI

AI Scientist

AI Scientist at Nexapp structuring, developing AI practices. Collaborating with teams to integrate AI into projects.

Messagepoint is an enterprise SaaS company that provides an intelligent content hub and customer communications management (CCM) platform for regulated, omni-channel communications. Its products offer no-code authoring for business users, headless APIs for developers, AI-powered content intelligence (MARCIE) for translation, optimization and migration, and add-ons for composition, delivery, and interactive customer-facing communications. The platform focuses on compliance, personalization, content reuse, and migration from legacy systems and serves industries such as financial services, healthcare (notably Medicare), insurance, mortgage servicing, and government.

Messagepoint is a leading provider of customer communications management software. Only Messagepoint harnesses AI-powered Content Intelligence to automate and simplify the process of migrating, optimizing, authoring, and managing complex customer communications for non-technical (business) users. Customers rely on Messagepoint's award-winning platform to consistently deliver exceptional, highly personalized customer communications across all platforms and channels.

Messagepoint

• Design and deploy production multi-agent AI systems using frameworks like LangGraph, OpenAI Assistants/Responses, Swarm, CrewAI, or AutoGen to solve complex business problems at scale
• Build production RAG pipelines implementing proven retrieval techniques including hybrid search, reranking, and knowledge graph integration for enterprise-grade performance
• Engineer and optimize prompts as versioned code using established techniques (Chain-of-Thought, ReAct, self-consistency) with rigorous testing and evaluation
• Implement comprehensive evaluation and monitoring pipelines with production KPIs, quality gates in CI/CD, and automated regression testing
• Architect scalable agentic workflows with persistent state management, error recovery, and production-grade reliability
• Deploy observability and debugging infrastructure using LangSmith, TruLens, DeepEval for production monitoring and issue resolution
• Integrate safety and compliance measures including PII detection, content filtering, guardrails, and security best practices
• Optimize system performance and costs through caching strategies, model routing, batch processing, and efficient resource utilization
• Build APIs and microservices for AI systems with proper versioning, documentation, and SLA management
• Champion AI-assisted development using tools like Claude Code, Augment, and Gemini CLI to maximize engineering productivity
• Stay current with relevant AI research - Read papers from top conferences (NeurIPS, ICML, ACL) to identify techniques applicable to our use cases
• Evaluate emerging techniques - Assess new methods for potential adoption, focusing on production viability and ROI
• Implement proven research concepts - Translate well-validated research into production when it provides clear value
• Conduct targeted experiments - Test specific hypotheses about system improvements with data-driven validation

Senior Applied AI Scientist – Generative AI, Agentic Systems

Senior Applied AI Scientist at Messagepoint developing generative AI solutions using large language models. Focused on transforming research into production systems for customer communications.

Hybrid AI Research Scientists roles in Canada

Browse 4 hybrid ai research scientists roles hiring in Canada plus related opportunities such as llm engineer, nlp engineer, computer vision engineer, ai engineer and machine learning engineer.

4 jobs found