ML Research Scientist

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ML Research Scientist

Ask the questions whose answers change what the platform does. The work is empirical and it runs on our own hardware: measure what really happens when models share silicon, and turn that into something the product can use.

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Type Full time

Team Software

Location Riyadh

Ask the questions whose answers change what the platform does. The work is empirical and it runs on our own hardware: measure what really happens when models share silicon, and turn that into something the product can use.

What you will do

• Design and run experiments on real fleets rather than on synthetic proxies.
• Investigate model behaviour under co-location, quantisation, adapter serving and mixed-precision execution.
• Turn findings into decisions the orchestration layer can act on, and work with engineering to land them.
• Publish internally with the rigour you would use externally: method, data, limits.
• Keep the team honest about what a result does and does not support.
• Track the literature and separate what is real from what is claimed.
  
  

What you need

• A doctorate or equivalent research experience in machine learning, systems or a numerate discipline.
• You have run experiments end to end, including the unglamorous instrumentation.
• Strong Python and comfort reading and modifying model and serving code.
• The discipline to state a limitation before someone else finds it.
  
  

Useful, not required

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

What we offer

• One of the first deep tech companies in the region, building foundational technology in house.
• Meaningful ownership and impact at an early stage.
• Competitive early-stage compensation.
• Close collaboration with a small, senior team.
• Problems that combine hardware, systems and AI at scale.
  
  

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