Machine Learning Research Engineer – Speech for On-Device Agentic AI Full-time

Company:
Qualcomm Korea YH

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

General Summary:

Qualcomm is a leading On-Device AI company, unlocking new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform On-Device AI’s potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

We are seeking talented and motivated machine learning researchers specializing in speech technologies to join our team. The ideal candidate will have a strong background in developing speech recognition (ASR), text-to-speech (TTS), and conversational AI systems, with focus on creating solutions for on-device interactive AI agents. The selected candidates will work on one of the topics in the list below.

• Multimodal speech LLM
• Generative models for speech generation
• Representation learning of audio and speech data

Minimum Qualifications:

• Knowledge and experience in machine learning
• Publications in machine learning, speech, and NLP
• Programming skill in Python or C/C++
• Experience in PyTorch (preferred) or TensorFlow

Preferred Qualifications:

• Experience in multimodal generative AI
• Experience in representation learning for audio/speech data
• Wide and deep knowledge in general machine learning and deep learning
• Wide and deep knowledge in signal processing or speech processing

Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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