AI Researcher — Autonomous R&D for Digital Twins

Brandnographer

Hong Kong

On-site

HKD 190,000 - 257,000

Full time

8 days ago

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Benefits offered by this job

Competitive remuneration
In-person work

Job summary

Brandnographer in Hong Kong is seeking a hands-on AI Researcher to architect, code, and test core ML/DL algorithms for our AI Digital Twin R&D project. You will work under the Chief Scientist, translating breakthroughs into a scalable research-to-innovation pipeline.

This role is purely R&D-focused, with independence to experiment and iterate, and requires the ability to defend technical decisions during regular milestone reviews.

Qualifications

  • Bachelor's, Master's, or PhD in a STEM discipline.
  • Degree from a local Hong Kong university or a globally recognized non-local institution.
  • Proven ability to build end-to-end ML pipelines using Python and major AI frameworks (PyTorch, TensorFlow, Keras).
  • Strong capability to work independently with high-level technical oversight and code-architecture reviews.
  • Eligible to work in Hong Kong.

Responsibilities

  • Core algorithm development: research, design, and code ML/DL models for AI Digital Twins.
  • Prototyping: build PoC frameworks focusing on predictive analytics and cognitive modeling.
  • Scientific research: review papers and translate algorithms into clean code.
  • Performance evaluation: design tests and report bottlenecks and optimizations.
  • IP documentation: record architectural decisions and experimental outcomes for IP.

Skills

ML/DL development
Python
Independent research
End-to-end ML pipelines

Education

STEM degree (BSc/MSc/PhD)

Tools

PyTorch
TensorFlow
Keras

Job description

Brandnographer in Hong Kong is seeking a hands-on AI Researcher to architect, code, and test core ML/DL algorithms for our AI Digital Twin R&D project. You will work under the Chief Scientist, translating breakthroughs into a scalable research-to-innovation pipeline.

This role is purely R&D-focused, with independence to experiment and iterate, and requires the ability to defend technical decisions during regular milestone reviews.

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