Sr. Applied Scientist, Hardware Devices Science Team

Amazon Devices; Cambridge; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Cambridge is seeking a Sr. Applied Scientist to innovate in Gen AI model development and optimization. This full-time role involves mentoring junior scientists and engaging in cutting-edge research. Ideal candidates will have a PhD in a relevant field and robust experience in machine learning. You will contribute to developing advanced edge models and collaborate with engineering teams to create impactful solutions. Join us to make a difference in next-gen technology.

Qualifications

• Proven experience in building machine learning models for business applications.
• Experience with neural deep learning methods.

Responsibilities

• Mentor less experienced Applied Scientists.
• Engage in innovative research in areas like Gen AI model compression.
• Collaborate closely to build ML-centric solutions.

Skills

Laboratory Experience

Machine Learning

Data Analysis Skills

Research Experience

Education

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics

Tools

Java

C

Python

Job description

Amazon Devices is an inventive research and development company that designs 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 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