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Intern / Co-Op III

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TD Bank

Oct 10

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Toronto
  • Quick Apply

AI generated summary

  • You must be enrolled in a relevant program, have machine learning experience, strong programming skills, cloud solutions expertise, and familiarity with Big Data and deep learning frameworks.
  • You will design and implement machine learning models, collaborate with teams, and apply the latest advancements to solve real-world business challenges.

Requirements

  • Currently enrolled in Undergraduate or graduate program in Computer Science, Statistics, Physics, Mathematics, or a related field
  • You have a strong background in machine learning and deep learning, with a proven track record of applying machine learning to solve real-world problems
  • You have excellent programming skills and value building robust machine learning solutions
  • You strive to communicate clearly and with empathy
  • You are highly accountable and have a strong sense of ownership
  • Hands on experience with software systems development
  • Experience developing solutions in large cloud computing infrastructures such as Azure and AWS
  • Experience with Big Data technologies and frameworks such as Hadoop, MapReduce, Spark
  • Experience with deep learning frameworks Pytorch or Tensorflow

Responsibilities

  • As an Applied Machine Learning Scientist, you will:
  • Design and implement cutting-edge machine learning models to solve business problems with large scale impact.
  • Join a world-class team of machine learning scientists with an extensive track record in both academia and industry.
  • Collaborate closely with business partners, product and engineering teams in a fast-paced environment and see your solutions deployed to production.
  • Stay up-to-date with the latest advances in machine learning and apply them to solve real-world problems.

FAQs

What is the role type for this internship?

The role type is Intern / Co-Op III.

Where is the work location for this position?

The work location is based in Canada.

What is the expected work term for this internship?

The job description does not specify the exact work term.

What are the working hours for this position?

The expected working hours are 37.5 hours per week.

How is compensation determined for this role?

Compensation details are open for discussion with a member of the HR Team, and fair and equitable compensation is emphasized.

What will my primary responsibilities be as an Applied Machine Learning Scientist intern?

As an Applied Machine Learning Scientist intern, you will design and implement machine learning models, collaborate with teams, and stay updated on advances in machine learning to solve real-world problems.

What educational background is required for this position?

Candidates must be currently enrolled in an undergraduate or graduate program in Computer Science, Statistics, Physics, Mathematics, or a related field.

What programming skills are necessary for this role?

Candidates should have excellent programming skills and a strong background in machine learning and deep learning.

Are there any preferred qualifications for this internship?

Yes, nice-to-have qualifications include hands-on experience with software systems development, cloud computing infrastructures (like Azure and AWS), Big Data technologies, and deep learning frameworks such as PyTorch or TensorFlow.

What kind of training can I expect upon joining?

Training and onboarding sessions will be provided to ensure you have everything you need to succeed in your new role.

Does TD offer career development support?

Yes, TD is committed to supporting career development through regular conversations with managers, access to an online learning platform, and various mentoring programs.

How does TD prioritize customer experience?

TD believes that all colleagues, regardless of their role, are customer-facing and focuses on innovating to enhance customer experience.

Can accommodations be requested during the interview process?

Yes, candidates can request accommodations such as accessible meeting rooms or captioning for virtual interviews to help remove barriers in the interview process.

Will I receive feedback after my interview?

Yes, TD aims to communicate outcomes to all applicants by email or phone call after the interview process.

Finance
Industry
10,001+
Employees

Mission & Purpose

Headquartered in Toronto, Canada, the Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD had CDN$1.9 trillion in assets on July 31, 2023. TD also ranks among the world’s leading online financial services firms, with more than 16 million active online and mobile customers. TD offers a full range of financial products and services to over 27.5 million customers worldwide through four key business lines: - Canadian Personal and Commercial Banking including TD Canada Trust, Business Banking, and MBNA - U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in Schwab - Wealth Management & Insurance including TD Wealth (Canada), TD Direct Investing, and TD Insurance - Wholesale Banking including TD Securities and TD Cowen