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

42dot
South Korea
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: []

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.

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FursaFursa
42dot
42dot
1 month ago

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: 57 minutes 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
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn