Applied Scientist, Silicon and Systems Group Edge AI

Amazon; Cambridge; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading technology company in Cambridge is seeking an Applied Scientist to advance multimodal language models for their product portfolio. Collaborating closely with engineers and scientists, you will improve model capabilities and enhance user experiences. Required qualifications include a PhD or Master's degree in a relevant field along with programming experience in Java, C++, or Python. Join us in innovating state-of-the-art AI models for our devices.

Qualifications

• PhD or Master’s degree with experience in computer science or related field.
• Experience in patents or publications at peer-reviewed conferences.
• Experience in programming languages such as Java, C++, Python.

Responsibilities

• Collaborate on multimodal model evaluations for devices.
• Validate reliability for automated evaluation methods.
• Develop frameworks to support multimodal language models.

Skills

Algorithms and data structures

Machine learning model building

Programming in Java

Programming in C++

Programming in Python

Education

PhD in CS, CE, ML or related field

Master's degree in CS, CE, ML or related field

Tools

MxNet

TensorFlow

Unix/Linux

Job description

Applied Scientist, Silicon and Systems Group Edge AI

Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to advance the state-of-the-art in developing efficient multimodal language models across our product portfolio. Through close hardware-software integration, we design and train models for resource efficiency across the hardware and software tech stack.

Key job responsibilities

• Collaborate with cross-functional engineers and scientists to advance the state of the art in multimodal model evaluations for devices, including audio, images, and videos
• Invent and validate reliability for novel automated evaluation methods for perception tasks, such as fine-tuned LLM-as-judge
• Develop and extend our evaluation framework(s) to support expanding capabilities for multimodal language models
• Analyze large offline and online datasets to understand model gaps, develop methods to interpret model failures, and collaborate with training teams to enhance model capabilities for product use cases
• Work closely with scientists, compiler engineers, data collection, and product teams to advance evaluation methods

A day in the life

As a Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences and discover ways to enhance our model capabilities and enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production.

About the team

Our Edge AI science team brings together our unique skills and experiences to deliver state-of-the-art multimodal AI models that enable new experiences on Amazon devices.

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in building machine learning models for business application

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow

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