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IMC

Machine Learning Researcher - Modeller

IMC · Hong Kong, Hong Kong; Sydney, Australia

Posted about 3 months ago

or apply directly on IMC's site. We never take the application ourselves.

Is this posting real?

This role has been open
87 days
IMC's roles stay open a median of 87 days
Reposted
No
Salary listed
No
0% of IMC's roles list one
Ghost-job risk at IMC
high
177 stale, 1 reposted of 177 open
Hiring momentum
207 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from IMC's own greenhouse board since 2026-08-03. Full hiring picture for IMC.

About this role

As a Deep Learning Researcher at IMC, you will develop and apply advanced deep learning techniques to enhance trading performance across various asset classes. Your role involves innovating in areas like representation learning and generative AI, researching novel neural network architectures, and collaborating with quantitative traders to create scalable deep learning solutions. You will also stay updated on the latest developments in deep learning and share insights with your team.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of IMC as an employer.

What you need

  • PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field
  • 3+ years of experience conducting deep learning research and developing large-scale machine learning systems
  • Demonstrated expertise in modern deep learning architectures, including transformers, sequence models, representation learning, self-supervised learning, and/or generative models
  • Strong understanding of the theoretical foundations underlying deep learning, optimization, statistical learning, and neural network training dynamics
  • Experience training and deploying large-scale models in distributed computing environments
  • Strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch, JAX, TensorFlow, and associated ecosystem tools

Worth weighing

  • No specific salary or benefits mentioned
  • The role requires a strong research background, which may not appeal to candidates looking for a more application-focused position
  • Prior financial industry experience is not required, which may be a plus for candidates from other sectors

Summarised from IMC's posting. Read the full original.

Listed by IMC on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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