Engineer - Reinforcement Learning

Jobtorob
AE - United Arab Emirates
January 28, 2025
Management

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3+ Years work experience developing in PythonStrong experience in Deep Learning / ML applications (Pytorch, TensorFlow, …)Strong experience with code versioning and containerizationStrong experience in deep reinforcement learning architecture (DQN, PPO, TRPO, actor critic)Experience with distributed trainingYou look forward to learning with researchers and engineers with diverse backgrounds and expertiseMaster's degree and/or PhD in a relevant field (e.g., software engineering, computer science)Knowledge of Arabic is not necessary, but it can be a plus for some projectsQualifications Required:
Master's degree and/or PhD in a relevant field (e.g., software engineering, computer science).At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions.
Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing, and secure systems.Responsibilities:
Familiarity with the paradigm of reinforcement learning from human feedback (RLHF)Experience with following and reproducing academic publicationsExperience with any of the following:
NLPComputer VisionLarge language model training and finetuningDevelopment of CUDA drivers for optimized GPU trainingHPCCloud computing (Amazon Web Services, Azure, …)Front-End and/or back-end developmentLangChainAnother info:
The Artificial Intelligence Cross-Center Unit is the machine learning powerhouse of TII, working in close collaboration with our other research centers to harness the full benefits of AI across our projects - and drive innovation from new computing paradigms, designing and delivering new AI methodologies, technologies, solutions, and systems that address challenging issues across multiple sectors of the economy - from technology to healthcare, cybersecurity, and government, among others.
We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence.
We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.
Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

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