Research Machine Learning Scientist II (Layer 6)

TD Bank

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: $ 96130 - 181944
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Work Location:

New York New York United States of America

Hours:

40

Pay Details:

$96130 - $181944 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 candidates 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)
  • Graduates degree preferred with either progressive project work experience or
  • 1 years relevant experience (includes post graduate experience)

Preferred Qualifications:

  • PhD or Masters 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 worlds 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 95000 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 youve 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 were 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.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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and were committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well 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 . Include your full name best way to reach you and the accommodation needed to assist you with the applicant process.

Work Location:New York New York United States of AmericaHours:40Pay Details:$96130 - $181944 USDTD 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 compen...
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Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

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