Sr. Applied Scientist, Hardware Devices Science TeamAmazon Devices • Cambridge, England, United Kingdom
Sr. Applied Scientist, Hardware Devices Science Team
Amazon Devices
- Cambridge, England, United Kingdom
- Cambridge, England, United Kingdom
Über
This is an exciting opportunity to join the Amazon Hardware division in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for an exceptional Sr. Applied Scientist to join our team and help develop the next generation of edge models and optimize them while doing co-designed with custom Machine Learning Hardware based on a revolutionary architecture.
Key job responsibilities
Mentor less experienced Applied Scientists
Engage in state-of-the-arc and innovative research in areas such as Gen AI model compression and knowledge distillation
Contribute to a novel and comprehensive training platform custom-tailored for preparing models for edge applications
Invent optimization techniques to push the boundaries of deep learning model training
Derive research approaches from first principles via knowledge of Information Theory Statistics Scientific Computing and Deep Learning Theory
Create and propose detailed theoretical specifications for novel research ideas and directions and rigorously justify their correctness
Train custom Gen AI models that beat the SOTA and pave 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 by cohesively unifying software and hardware
Publish in open source and present on Amazon’s behalf at key ML conferences - e.g. NeurIPS ICLR MLSys
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience in building machine learning models for business application
Experience with neural deep learning methods and machine learning
Experience programming in Java, C, Python or related language
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (to know more about how we collect, use and transfer the personal data of our candidates.)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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 you're applying in isn’t listed, please contact your Recruiting Partner.
Key Skills
Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills
Required Experience : Senior IC
Employment Type : Full-Time
Experience : years
Vacancy : 1
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.