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About the Role

In this role, you will partner with a cross-functional team to deliver AI-powered products, design, develop, test, deploy, and support AI software components, leverage a broad stack of Open Source and SaaS AI technologies, and invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems. You will also contribute to the technical vision and long-term roadmap of foundational AI systems.

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Skills

AI
ML
Machine Learning
Large Language Model (LLM) inference
Similarity Search
VectorDBs
Guardrails
Memory
Python
Go
Scala
Java
C++
C#
Golang
AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Cloud platforms (AWS, Google Cloud, Azure)

Location

161 Bay Street (93021), Canada, Toronto, Toronto, Ontario

Work Type

Hybrid

Experience Level

4 years of experience developing AI and ML algorithms or technologies
2 years of experience developing AI and ML algorithms or technologies
4 years of experience programming with Python, Go, Scala, or Java
6 years of experience deploying scalable and responsible AI solutions on cloud platforms

Education Level

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Salary/Compensations

$173,000 to $197,400

Benefits

Full coverage for spouses, domestic partners and dependents
One-time Work From Home allowance
Up to $3,000 in mental health coverage
Up to $5,000 in annual tuition subsidies

About the Company

For 30 years, Capital One Canada has been on a mission to change banking for good.
We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations.
We're a bank a tech company would build, where your work directly shapes innovative solutions that impact millions of Canadians.
We're driven by fearless curiosity, bold innovation, and a collective of authentic people working together to redefine what's possible.
Technology isn’t just part of our strategy, it is our strategy.
Everything we do serves our vision and the creation of what's next.
At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.
Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI.
From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.
We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life.
We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.
Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

Equal Opportunity

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment.
We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com.
All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.