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ML Research Scientist

think
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Machine learning researchExperimental design and executionPythonModel and serving codeInstrumentationModel co-location
Free

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Machine learning researchExperimental design and executionPython
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Role Overview

The role conducts empirical research on what happens when machine learning models share hardware and turns findings into product decisions.

The work uses real hardware fleets and focuses on model behavior, systems performance, and orchestration.

What You Will Do

  • Design and run experiments on real fleets rather than synthetic proxies.
  • Investigate model behavior under co-location, quantisation, adapter serving, and mixed-precision execution.
  • Turn findings into decisions that the orchestration layer can use.
  • Work with engineering to implement research findings.
  • Publish internal research with rigorous methods, data, and limitations.
  • Track the literature and distinguish validated results from claims.

What You Need

  • Doctorate or equivalent research experience in machine learning, systems, or a numerate discipline.
  • Experience running end-to-end experiments, including instrumentation.
  • Strong Python skills and comfort reading and modifying model and serving code.
  • Discipline to state research limitations clearly.

Useful, Not Required

  • Published work in efficiency, quantisation, serving, or machine learning systems.
  • Experience with adapter methods, distillation, or mixture-of-experts serving.
  • A track record of research that shipped.

What We Offer

  • Meaningful ownership and impact at an early-stage deep technology company.
  • Close collaboration with a small, senior team.
  • Problems combining hardware, systems, and artificial intelligence at scale.
  • Competitive early-stage compensation.

Team and Location

  • The role is part of the Software team and is located in Riyadh.
  • The source does not specify whether the work is onsite, hybrid, or remote.

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