Sr. Applied Scientist, SSG Science
Amazon
Sr. Applied Scientist, SSG Science
Job Description
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 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 responsibilitiesWhat will you do?- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms- Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics - Train custom Gen AI models that beat SOTA and paves path for developing production models- Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices- Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
Salary
Estimated Salary Rangehigh confidence
120,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
Responsibilities
- What will you do?
- - Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
- - Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
- - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
- - Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
- - Train custom Gen AI models that beat SOTA and paves path for developing production models
- - Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
- - Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
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Sr. Applied Scientist, SSG Science
Amazon
Sr. Applied Scientist, SSG Science
Job Description
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 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 responsibilitiesWhat will you do?- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms- Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics - Train custom Gen AI models that beat SOTA and paves path for developing production models- Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices- Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
Salary
Estimated Salary Rangehigh confidence
120,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
Responsibilities
- What will you do?
- - Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
- - Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
- - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
- - Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
- - Train custom Gen AI models that beat SOTA and paves path for developing production models
- - Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
- - Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Tags & Categories
Answer 10 quick questions to check your fit for Sr. Applied Scientist, SSG Science @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs