Research Scientist, SSG Science
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products Fire Tablets Fire TV Health Wellness Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional early career research scientists to join our Applied Science team and help develop the next generation of edge models and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities
Key Job Responsibilities:
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).
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
Key Job Responsibilities:
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).
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
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