Location: New York, New York
Work Location
New York, New York, United States of America
Hours
40
Pay Details
$96,130 - $181,944 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Line of Business
Analytics, Insights, & Artificial Intelligence
Department Overview
Layer 6 is the AI research center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.
We are looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
Position Overview
This is a highly technical role focused on the delivery of AI, Machine Learning, and Generative AI solutions. Successful candidates will have hands-on experience working with machine learning engineers, data scientists, software engineers, and cloud/platform teams to deliver production AI systems. This role requires the ability to evaluate technical designs, challenge architectural decisions, and drive technical delivery outcomes.
Day-to-day as a Technical Product Owner (Machine Learning Engineer II):
Lead cross-functional teams of machine learning scientists, machine learning engineers, data scientists and software engineers to deliver production-grade AI solutions.
Work closely with stakeholders to identify, refine and occasionally reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features.
Translate business objectives into technically feasible AI/ML solutions and articulate trade-offs related to architecture, implementation complexity, scalability, risk, and model performance.
Develop the vision, strategy, and roadmap for AI technical products and capabilities that meet business objectives and maintain TD at the forefront of AI research and development.
Maintain an in-depth understanding of the solution, architecture, and technical implementation details to effectively challenge design decisions, assess delivery trade-offs, and prioritize development work in alignment with business and technical requirements.
Facilitate the professional and technical development of colleagues through mentorship and feedback.
Anticipate resource needs as solutions move through the model lifecycle, scaling pods up and down as models are built, perform, degrade and require enhancement.
Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and production-readiness decisions.
Lead the definition of cloud-native AI/ML solution architectures and operational strategies, partnering with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems.
Ensure AI solutions meet enterprise standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability.
Define, measure, and communicate the business value delivered by your products, connecting model performance to measurable business outcomes and enterprise AI value targets.
Preferred Qualifications
- 5+ years of experience delivering complex AI, machine learning, data science, advanced analytics, or software products in large-scale enterprise environments.
- 3+ years of experience leading cross-functional technical delivery teams consisting of machine learning engineers, data scientists, software engineers, and MLOps practitioners.
- Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices.
- Ability to evaluate technical designs and challenge architecture decisions while partnering effectively with engineering and research teams.
- Strong technical proficiency in Python, SQL, and modern software engineering practices including version control, CI/CD, automated testing, observability, and deployment automation.
- Familiarity with model risk management and AI governance in regulated industries.
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field; or equivalent practical experience delivering complex AI/ML solutions.
Depth & Scope
- Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues
- Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
- Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment
- Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise
- Applies in-depth skills and broad knowledge of the business to address complex problems and nonstandard situations
Education & Experience
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
1 +years relevant experience (includes post graduate experience)
Customer Accountabilities
Leverages deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
Executes on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partners with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases
Works with partners across Technology and apply in depth understanding of relevant business needs to identify and leverage synergies across the various areas
Acts as the expert or lead innovator and agent of change for the programs and services under management.
Works with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering
Works with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
Identifies and effectively manages stakeholder engagement and impacts across the enterprise
Interprets client needs, assess engineering related requirements, and identify solutions to non-standard requests
Employee/Team Accountabilities
- Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues / points of interest
- Provides thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
- Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
- Participates in personal performance management and development activities, including cross training within own team
- Keeps others informed and up to date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities
- Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
- Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
- Contributes to a fair, positive and equitable environment that supports a diverse workforce.
- Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
Physical Requirements
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
Domestic Travel – Occasional
International Travel – Never
- Performing sedentary work – Continuous
- Performing multiple tasks – Continuous
- Operating standard office equipment - Continuous
- Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
- Moving safely in confined spaces – Occasional
- Lifting/Carrying (under 25 lbs.) – Occasional
- Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
Who We Are
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more
Additional Information
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at [email protected]. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
Job description provided by TD Bank.
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