Machine Learning Engineer II (layer 6)

Machine Learning Engineer II

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.

Position Overview

As a Machine Learning Engineer, you will + Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge + Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability + Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application + Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections + Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing

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)

Preferred Qualifications

+ 3+ years of developer experience shipping code in production settings + Strong background in machine learning and deep learning + Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design + You take great personal pride in building robust and scalable software + You are highly accountable and have a strong sense of ownership + You strive to communicate clearly and with empathy + Research experience with publication record + Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library + Experience with building and scaling data-intensive software + Experience using GPUs for accelerated deep learning training

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

Shareholder Accountabilities

+ Adheres to enterprise frameworks or methodologies that relate to activities for our business area + Ensures respective programs / policies / practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities + Consistently exercises discretion in managing correspondence, information and all matters of confidentiality; escalates issues where appropriate. + Ensures business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets) + Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations + Conducts internal and external research projects; supports the development / delivery of presentations / communications to management or broader audience + Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assess the effectiveness of programs / policies / practices + Monitors service, productivity and assesses efficiency levels within own function and implement continuous process / performance improvements where opportunities exist + Leads / facilitates and/or implements actions / remediation plans to address performance / risk / governance issues + Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements + Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts + Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

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.

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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing – and so will you.

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