Senior ML Research Engineer - Real-Time AI Platform

Sanderson-Ikas

Hong Kong

On-site

HKD 900,000 - 1,500,000

Full time

14 days+
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Job summary

Sanderson-Ikas is seeking a Senior Research Engineer in Hong Kong to design and evolve a scalable ML research framework that supports the full lifecycle from experimentation through deployment. You will build infrastructure for ingesting and managing large datasets and develop tooling for model optimization and backtesting.

The role partners with quantitative researchers to test hypotheses, generate data-driven trading signals, and enhance the performance of research workflows in a real-time

Qualifications

  • Advanced degree and 8+ years in ML/Research/AI infrastructure.
  • Strong Python and ML framework expertise.
  • Experience designing end‑to‑end ML pipelines and deployment.
  • Familiarity with CI/CD, testing, observability, and cloud platforms.

Responsibilities

  • Design and evolve a scalable ML research framework covering experimentation to production deployment.
  • Build reusable infrastructure for large, diverse datasets.
  • Develop tooling for model optimization, backtesting, and performance analysis.
  • Collaborate with quantitative researchers to test hypotheses and generate trading signals.
  • Improve scalability and reliability of research workflows and deployment pipelines.

Skills

Python
ML Engineering
Distributed Systems
Mathematical Foundations

Education

Master's or PhD in CS/ML/Statistics

Tools

PyTorch
NumPy
Pandas
Polars
Ray
Docker
Kubernetes

Job description

Sanderson-Ikas is seeking a Senior Research Engineer in Hong Kong to design and evolve a scalable ML research framework that supports the full lifecycle from experimentation through deployment. You will build infrastructure for ingesting and managing large datasets and develop tooling for model optimization and backtesting.

The role partners with quantitative researchers to test hypotheses, generate data-driven trading signals, and enhance the performance of research workflows in a real-time

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