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Salary
≈ $43k – $110k per year (Estimated)
Location
In office (Abu Dhabi)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Analog is an artificial intelligence company based in Abu Dhabi that develops what it calls Physical Intelligence, AI systems that learn from the physical world. Its platform links people, places, devices and sensors into a continuously learning world model intended for robotics and edge AI applications. The company is headquartered in Abu Dhabi, United Arab Emirates.

As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.

What you’ll bring

  • Past experience in creating high-performance implementations of deep learning algorithms

  • Have experience working in large distributed systems

  • Provide technical perspective to develop ML best practices and influence engineering culture in the team

  • Have in depth knowledge of how the machine learning system interacts with systems around it

  • Evaluate the tradeoffs of different ML models/systems and deploy best ML practices

  • Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models

What you’ll do

  • Have run at least small-scale ML experiments

  • Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden

  • Have strong software engineering skills and are proficient in Python

  • Comfortable working with researchers to enable them to develop the next generation of models

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