Sr. Applied Scientist, Silicon and Systems Group Edge AI

Amazon; Asti; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Piemonte is seeking a Sr. Applied Scientist to advance multimodal language models. The role involves collaborating with engineers, inventing evaluation methods, and mentoring team members. Ideal candidates will have a PhD and experience in machine learning and programming in languages like Java or Python. This position fosters innovation within a rapidly evolving technology environment.

Competenze

• PhD in engineering, technology, computer science, or a quantitative field.
• Experience programming in high-level languages such as Java or Python.
• Familiarity with machine learning and deep learning techniques.

Mansioni

• Collaborate with engineers to improve multimodal model evaluations.
• Invent new evaluation methods for perception tasks.
• Mentor less experienced Applied Scientists.

Conoscenze

Programming in Java

Machine learning

Neural deep learning methods

Python

Formazione

PhD in engineering or related field

Strumenti

TensorFlow

scikit-learn

Hadoop

Spark

Descrizione del lavoro

Sr. Applied Scientist, Silicon and Systems Group Edge AI

Job ID: 3100838 | Evi Technologies Limited

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 stack.

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 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. You'll research new methods for reliably assessing perception capabilities for audio-visual tasks in multimodal language models, design and implement new metrics, and develop our evaluation framework. You'll collaborate across teams of engineers and scientists to identify and root cause issues in models and their system integration to continuously enhance the end-to-end experience.

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. We work at the intersection of hardware, software, and science to build models designed for our custom silicon.

Basic Qualifications

• 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 applications
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Preferred Qualifications

• 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

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.