[집중채용] Deep Learning Engineer (음성 인식 및 wake word detection 개발)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Develop and optimize next-generation voice AI for in-vehicle environments, connecting STT and wake word detection to LLM-based AI agents. Design acoustic/language and wake word models and build voice databases. Build batch and streaming voice applications for server and on-device platforms (Linux, Android), focusing on hardware-efficient modeling and real-world performance across target devices.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design STT acoustic/language models and build voice databases.
•Design WWD models and build voice databases.
•Develop batch and streaming voice applications for server and on-device (Linux, Android).
•Develop and optimize hardware-efficient models.

Key Requirements

•2+ years of relevant experience (allowing new grads with a master’s degree).
•Basic knowledge of speech signal processing.
•Research experience in machine learning/AI for STT or WWD.
•Ability to develop applications on-device (edge devices) including Linux and Android.
•Strong programming skills for problem-solving (e.g., C/C++, Python, shell) and experience using open-source deep learning frameworks (PyTorch/TensorFlow/Keras/Caffe).

Experience:2+ yearsDeep learningSpeech recognitionWake word detectionOn-device AILLM

Tech Stack:LinuxAndroidCC++PythonShellPyTorchTensorFlowKerasCaffePyTorch/TensorFlow/Keras/CaffeGitCI/CDUnit testingStatic analysisSSLAEDAttention based Encoder-DecoderSelf Supervised Learning

Company Brief

42dot

Website

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42dot

1 week ago

[집중채용] Deep Learning Engineer (음성 인식 및 wake word detection 개발)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design STT acoustic/language models and build voice databases.
•Design WWD models and build voice databases.
•Develop batch and streaming voice applications for server and on-device (Linux, Android).
•Develop and optimize hardware-efficient models.

Key Requirements

•2+ years of relevant experience (allowing new grads with a master’s degree).
•Basic knowledge of speech signal processing.
•Research experience in machine learning/AI for STT or WWD.
•Ability to develop applications on-device (edge devices) including Linux and Android.
•Strong programming skills for problem-solving (e.g., C/C++, Python, shell) and experience using open-source deep learning frameworks (PyTorch/TensorFlow/Keras/Caffe).

Experience:2+ yearsDeep learningSpeech recognitionWake word detectionOn-device AILLM

Tech Stack:LinuxAndroidCC++PythonShellPyTorchTensorFlowKerasCaffePyTorch/TensorFlow/Keras/CaffeGitCI/CDUnit testingStatic analysisSSLAEDAttention based Encoder-DecoderSelf Supervised Learning

Company Brief

42dot

Website