Layer 6
layer6.ai
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Financial AI
AI Research Labs
Recommendation Systems
Machine Learning
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Overview
Layer 6 is a Canadian artificial intelligence research and engineering group founded in Toronto in 2016 and acquired by TD Bank in 2018, where it now operates as the bank's machine learning organisation. Its researchers work on recommendation, forecasting, natural language and generative models applied to the bank's own problems, including personalised customer guidance, fraud and risk detection, contact centre assistance and document processing, and they publish at machine learning conferences alongside that applied work. The group sits inside TD rather than selling to outside customers, and it recruits research scientists and machine learning engineers into the bank's Toronto operation.
News
The Hidden Influence of AI Benchmarks
How outdated evaluation metrics in AI benchmarks can steer innovation away from what people actually value The post The Hidden Influence of AI Benchmarks appeared first on Layer 6.
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Report
Can Smaller AI Models Solve Text-to-SQL?
New research shows how Multi-Sample Critiquing improves accuracy by generating and comparing multiple SQL candidates. Databases are the quiet infrastructure behind modern life. They're used across nearly every domain imaginable-healthcare,... The post Can
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Report
Teaching Models to Forget: A Deep Dive into Minimally Invasive Machine Unlearning
A control-oriented framework for practical, sustainable unlearning Machine learning systems are now deeply embedded in industries where privacy, compliance, and user trust matter - from financial services and healthcare to... The post Teaching Models to F
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Report
From Guesswork to Guarantees: A New Framework for Reliable LLM Summarization
The problems with large language models are well documented. You've seen the headlines: hallucinations, confident errors, and responses you can't trust. In high-stakes domains like medicine and law, those failures... The post From Guesswork to Guarantees:
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Report
How Generative AI Is Transforming the Front Office at TD Securities
Discover how Generative AI at TD Securities empowers the Front Office. Explore the TDS AI Virtual Assistant, which uses RAG and Text-to-SQL for instant insights. The post How Generative AI Is Transforming the Front Office at TD Securities appeared first o
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Report
Trustworthy AI Must Account for Interactions
This post is about our paper entitled "Trustworthy AI Must Account for Interactions" presented at the ICLR 2025 Workshop on Bi-directional Human-AI Alignment. Please refer to the full paper for... The post Trustworthy AI Must Account for Interactions appe
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Report
Static Thread Mapping for High Concurrency XGBoost Inference Servers
Introduction With the proliferation of machine learning (ML) models in all aspects of business, model serving has become a significant area of focus. The rise of high-concurrency (near) real-time ML... The post Static Thread Mapping for High Concurrency X
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DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
In this blog, we dive into some puzzling observations in few-shot learning: despite having access to less information, the simple scheme of pre-training and fine-tuning has been shown to support... The post DRESS: Disentangled Representation-based Self-Su
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Report
Accelerating AI Outcomes Through Research: How Layer 6 is Building the Future with the Vector Institute
As Artificial Intelligence (AI) is gaining widespread use, Layer 6 is using the technology to solve real problems and directly shape how teams work, models are built, and innovation is... The post Accelerating AI Outcomes Through Research: How Layer 6 is
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Report
Applying RAG in TD's North American Customer Operations Centre
OpenAI launched GPT 3.5 in November 2022, responding with human-like text and inspiring people to dream up new applications for AI. In the world of traditional ML - regression, classification,... The post Applying RAG in TD's North American Customer Opera
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Tech stack
The technologies known for Layer 6, by layer.
Languages
SQL
Python
Java
JavaScript
TypeScript
Node JS
COBOL
PowerShell
Frameworks & libraries
Spring Boot
Angular
PyTorch
React.js
Selenium
LangChain
NumPy
Rest-Assured
Databases
Db2
IMS
MS SQL
Delta Lake
Cloud & platforms
Azure
AWS
Databricks
GCP
GitHub
Power BI
Spark
Apache Kafka
Developer tools
Git
Jenkins
Rest API
pySpark
Copilot
Terraform
Ansible
Docker
AI & ML
LLM
Practices & domains
CI/CD
Incident Management
ETL/ELT
Platform Engineering
SLI/SLO/SLA
AI Agents
NLP
Time Series Forecasting
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Products
Document Intelligence
Extraction and classification of information from banking documents. It reduces manual handling in back-office processes.
layer6.ai
Applied Research
Published research on representation learning, forecasting and generative models. It runs alongside the bank's production work.
layer6.ai
Risk and Fraud Models
Machine learning applied to transaction fraud and credit risk detection. It runs against the bank's own data at scale.
layer6.ai
Personalisation Models
Recommendation and next-best-action models applied to the bank's customer channels. They surface guidance inside the banking app.
layer6.ai
People
Jordan Jacobs
Co-founder
Jordan Jacobs co-founded the group in 2016 and led it into TD Bank two years later. He also co-founded the Vector Institute for artificial intelligence in Toronto.
Tomi Poutanen
Co-founder
Tomi Poutanen co-founded the group and served as chief artificial intelligence officer at TD after the acquisition. He had earlier built machine learning teams at Yahoo and Milq.
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
48/100
Stable
Open positions
0
0 opened / 0 closed in 30 days
Hiring Dynamics
0%
Activity Timeline
Added Post-training to stack
Aug 2026
Added Hugging Face to stack
Aug 2026
Added A/B Testing to stack
Aug 2026
Added Semantic Search to stack
Aug 2026
Added OpenAI to stack
Aug 2026
Added OCR to stack
Aug 2026
Added Anthropic to stack
Aug 2026
Added Kibana to stack
Aug 2026
Added Service Mesh to stack
Aug 2026
Added Prometheus to stack
Aug 2026
Added Helm to stack
Aug 2026
Added Reinforcement Learning to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Toronto
Canada
HQ
50-200 est. staff