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Sr. applied scientist, silicon and systems group edge ai

Cambridge
Amazon
Scientist
Posted: 6 October
Offer description

Sr. 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.

The Silicon and Solutions Group Edge AI team is looking for a talented Sr. Applied Scientist who will lead our efforts on inventing evaluation methods for multimodal language models and agents for new 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
* Mentor less experienced Applied Scientists

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.

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

Requirements:

* PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
* Experience programming in Java, C++, Python or related language
* Experience with neural deep learning methods and machine learning
* Experience in building machine learning models for business application
* Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.


Preferred Qualifications

Preferred:

* Experience with large scale distributed systems such as Hadoop, Spark etc.
* Experience working with evaluations for large language models (LLMs) and/or vision-language models

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.

We are an equal opportunity employer and do not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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