Evi Technologies Limited
Machine Learning Science, Applied Science, alexa and amazon devices
AppliedScientist,SiliconandSystemsGroup
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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