Research machine learning scientist layer

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

Job Description:

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.

Position Overview:

As a Research Machine Learning Scientist, you will

• Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
• 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.
• Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

The Research Machine Learning Scientist II provides deep technical expertise on advanced analytics and machine learning across a across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes, and procedures. This role generally provides deep technical knowledge and expertise in stakeholder interactions related to complex advanced analytics related material. This role plays a lead role in the development of AI/ML systems to solve a range of complex problems. This role conducts advanced research and development of novel methodologies and techniques in a particular subfield of AI/ML, and applies innovative solutions to enterprise problems.

Depth & Scope:

• Work autonomously and accountable for deep knowledge of various AI/ML domains, frameworks, technology, tools, processes, and procedures, as well as organization issues
• Deep knowledge of applications, systems, innovation, design activities, best practices, business/organization standards
• Prioritizes and manages own workload in order to deliver quality results and meet timelines
• Solves complex problems; takes a new perspective on existing solutions
• Responsibilities involve leading major components of research and development in a subfield of AI, contributing to academic journals, conferences and competitions, keeping up to date with latest publications and trends, and applying innovative solutions to enterprise problems

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:

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
• Strong background in machine learning and deep learning
• 2+ years of research experience with publication record
• Proven track record of applying machine learning to solve real-world problems
• Depth of experience in relevant ML research disciplines
• Hands on experience in software systems development
• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
• Experience with Spark, SQL, or comparable database systems
• Experience using GPUs for accelerated deep learning training
• Familiarity with cloud computing systems like Azure or AWS

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.