EMOS
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About
EMOS specializes in Empathetic AI, empowering conversational AI systems to understand human emotions and personality through tone of voice, speech, text, and facial expressions. The technology leads the field with its comprehensive emotion recognition capabilities, analyzing stress levels, and personality factors. EMOS is the first solution to enable empathetic responses, allowing machines to adapt functionalities based on user mood, thereby increasing engagement. The platform is multilingual, supporting English and Chinese with plans for expansion. Applications include reducing road danger by detecting driver stress, improving customer service through emotion and personality detection, suggesting movies based on group moods, sensing indirect user intentions, and providing support for stress and depression by guiding users to calming activities.
Platform
Features
• multilingual capability
• stress level detection
• contextual intention sensing
• speech and natural language processing
• visual cue analysis
• personality factor analysis
• empathetic response generation
• comprehensive emotion recognition
Job Opportunities
Research Scientist
EMOS is an Empathetic AI platform that advances conversational AI by enabling machines to understand and respond to human emotions from speech, text, and visual cues.
Benefits:
Competitive salary and stock options
Education Requirements:
Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields
Experience Requirements:
Experienced in Natural Language Processing, Computer Vision or Speech Processing
Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax
Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)
Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models
Other Requirements:
Excellent written and verbal technical communication skills in English
Responsibilities:
Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms
Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team
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