Senior Edge AI Scientist - Multimodal Evaluation Expert

Amazon Devices; Cambridge; On-site; GBP 80,000 - 100,000; Full time

Job summary

An innovative tech firm in Cambridge is seeking a Sr. Applied Scientist to lead advancements in multimodal evaluations across devices. This role involves collaboration with cross-functional teams to develop evaluation methods, analyze datasets, and enhance model capabilities. Ideal candidates should have a PhD in a quantitative field and experience in programming and machine learning. The work environment encourages innovation and teamwork, making it an exciting opportunity for contributing to cutting-edge technologies.

Qualifications

• PhD in engineering, technology, computer science, or related field.
• Experience programming in Java, C, Python or related language.
• Experience with neural and deep learning methods.

Responsibilities

• Collaborate with engineers and scientists to advance multimodal model evaluations.
• Develop and validate automated evaluation methods for perception tasks.
• Analyze large datasets to enhance model capabilities.

Skills

Machine Learning

Data Analysis Skills

Laboratory Experience

Research Experience

Education

PhD in a quantitative field

Tools

Python

Java

Tensorflow

Hadoop

R

Job description

An innovative tech firm in Cambridge is seeking a Sr. Applied Scientist to lead advancements in multimodal evaluations across devices. This role involves collaboration with cross-functional teams to develop evaluation methods, analyze datasets, and enhance model capabilities. Ideal candidates should have a PhD in a quantitative field and experience in programming and machine learning. The work environment encourages innovation and teamwork, making it an exciting opportunity for contributing to cutting-edge technologies.