Evi Technologies Limited

Machine Learning Science, Applied Science, alexa and amazon devices

AppliedScientist,SiliconandSystemsGroup

£85–130k ~AI est. Cambridge, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist, Silicon and Systems Group at Evi Technologies Limited. Skills: Multimodal models, Model evaluation, Edge AI. Collaborate with engineers and scientists. Advance state of the art”

Industry & Context.

Machine Learning Science, Applied Science, alexa and amazon devices
Problems you'll solve

Analyze datasets; Interpret model failures

What They're Looking For.

Must Have

Master's degree and experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience in building machine learning models

Nice to Have

PhD, Experience using Unix/Linux, Experience in professional software development, Experience with MxNet, Experience with Tensor Flow

What You'll Do.

Collaborate with engineers and scientists

Advance state of the art

Develop evaluation methods

Invent reliability methods

Validate reliability for methods

Develop evaluation framework

Support model capabilities

Understand model gaps

Develop methods to interpret failures

Enhance model capabilities

Work with compiler engineers

Work with data collection teams

Work with product teams

Advance evaluation methods

Contribute to methods for evaluating experiences

Discover ways to enhance capabilities

Enrich customer experiences

Bring algorithms to production

Bring models to production

How You'll Work.

Team & Collaboration

Cross-functional engineers; Cross-functional scientists; Training teams; Compiler engineers; Data collection teams; Product teams

Full Job Description

Amazon Devices is an inventive research and development company that designs and engineer 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. The Silicon and Solutions Group Edge AI team is looking for a talented Applied Scientist who will develop new evaluation methods for multimodal language models and agents for our devices, including audio and vision experiences. 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 A

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