Research Machine Learning Scientist II

TDToronto, ON
Onsite

About The Position

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. Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing. Represent the team at leading ML conferences, present your research, and stay at the forefront of the field.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • Research, develop, and apply new techniques in deep learning to advance industry leading products.
  • Work with large-scale, real-world datasets.
  • Collaborate closely with the engineering team in a fast-paced startup environment.
  • See research deployed in production with very short turnaround.
  • Continuously learn new skills and explore advanced topics in AI.
  • Represent the team at leading ML conferences and present research.

Benefits

  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off
  • Banking benefits and discounts
  • Career development
  • Reward and recognition programs
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