Research Scientist, SSG Science

0 - 7 years

50 - 55 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals
Work with senior researchers to optimize Gen AI models for edge platforms using Amazons Neural Edge Engine Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems Participate in reading groups and research discussions to build expertise in efficient AI and edge computing Bachelors degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Strong understanding of deep learning fundamentals, linear algebra and statistics. Experience working with deep learning frameworks such as Pytorch or Tensorflow. Proven experience in writing high-quality code in C/C++/Python. Prior academic or industrial research experience is required. Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Hands-on experience with model compression techniques (quantization / pruning / distillation). Experience training or fine-tuning large language models. Publications at top-tier conferences (NeurIPS, ICLR, ICML).

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Amazon

Software Development

Seattle WA

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