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IMC

Machine Learning Engineer

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
80 days
IMC's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of IMC's roles list one
Ghost-job risk at IMC
high
176 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
2026-10-23

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 Machine Learning Engineer at IMC, you will be integral in developing systems for training and deploying large-scale machine learning models that enhance trading strategies. Your role involves collaborating with quantitative researchers and engineers to optimize workflows, build efficient inference pipelines, and improve machine learning frameworks. You will work on both ML Research Engineering and ML Performance Engineering, focusing on distributed training and low-latency inference systems.

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

  • 3+ years' experience in machine learning, with a focus on training or inference systems
  • Production software engineering: Python, testing discipline and genuine ownership of systems once they ship
  • Machine learning fundamentals: understanding modern ML workloads beyond high-level APIs and reasoning about model behaviour, correctness and performance
  • A systems mindset: measurement before opinion on performance, scale or reliability issues
  • Strong collaboration skills: explaining technical decisions and adapting approaches based on evidence
  • Depth in one or more of the following: distributed training and large-scale systems, GPU performance and low-level optimisation, production inference systems, numerics and correctness at scale

Nice to have

  • Exposure to cloud platforms and orchestration tools
  • A track record of contributing to open-source projects in machine learning, data science or distributed systems

Worth weighing

  • No specific salary or benefits listed
  • The role involves both research and performance engineering, which may require a diverse skill set
  • The position is based in Hong Kong or Sydney, which may affect relocation considerations

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

Listed by IMC on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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