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AI Engineer Speech Processing

- Information

Job Description

At NABLAS, our main mission is to solve challenging problems using the most suitable machine-learning techniques for various types of data. As a Researcher/Research Engineer, you will be involved in multiple projects and collaborate closely with other staff members. Your responsibilities will vary based on your experience and aptitude.

Key responsibilities:

  • Conducting surveys, prototyping, implementing machine learning/deep learning models, and validation for R&D projects.
  • Designing new algorithms.
  • Conducting technical surveys.
  • Developing applications and libraries.
  • Building and managing HPC environments and hardware.
  • Project management.
  • Providing guidance and education.
  • Creating documentation and presentations.

In your role, you will work with data and technologies such as:

  • Audio data.
  • Sensor data.
  • Image and text data.
  • Signal processing, and more.

Key Requirements

  • A master's or doctoral degree, or equivalent knowledge, in fields such as AI, computational science, or information science.
  • Experience in tasks related to audio processing or signal processing (e.g., FFT, wavelet analysis, mel spectrogram analysis, development of deep learning or machine learning methods for audio data).
  • Experience in creating machine learning algorithms.
  • Over 3 years of coding experience in Python (Numpy, Scipy, Scikit-learn).
  • Experience using communication tools such as Slack, Google Drive, Trello, and JIRA.

Additional skills

  • Broad knowledge of speech processing technologies such as WaveNet, WaveRNN, Tacotron, SV2TTS, and other deep learning techniques.
  • Experience in creating speech signal datasets.
  • Experience in developing deep learning algorithms based on CNNs, GANs, and generative models.
  • Proficiency in using tools such as PyTorch, TorchAudio, TensorFlow, and OpenCV.
  • Experience with MLOps technologies.
  • Experience using development tools such as IDEs, debuggers, Jupyter Notebooks, and Git.
  • Experience working on application system development projects.
  • Participation or awards in data analysis competitions like Kaggle.
  • Participation or awards in competitive programming platforms like AtCoder.音声処理に関する幅広い知識 (WaveNet, WaveRNN, Tacotron, SV2TTSや、その他の深層学習系技術など)
  • 音声信号データセットの作成経験
  • CNNやGAN、生成モデルをベースとした深層学習アルゴリズムの開発経験
  • PyTorch, TorchAudio, TensorFlow, OpenCVなどの利用経験
  • MLOps技術に関する利用経験
  • IDE, デバッガ, Jupyter, Gitなどの開発ツールの利用経験
  • アプリケーションシステム開発プロジェクトに従事した経験
  • Kaggleなどのデータ分析コンペティションの参加・受賞経験
  • AtCoderなどの競技プログラミングの参加・受賞経験



Full-time / Outsourcing (negotiable)


To be determined based on experience and ability


Full remote is available.

Office : 1F Hongo Tsuna Building, 6-17-9 Hongo, Bunkyo-ku, Tokyo

Work Hours

Flextime system (core time / 10:30 - 16:00)

*Varies depending on employment status


  • 2 days off per week
  • National Holidays
  • Year-end and New Year holidays (December 30 - January 3)
  • Annual paid vacations
  • Special leave for new employees: 5 days upon hire
  • Refreshment leave: 5 days / year
  • Maternity/paternity leave, congratulation or condolence leave

*Varies depending on the employment status.


  • Executive allowance
  • Overtime allowance
  • Telecommuting allowance
  • Commuting allowance
  • Salary increase (as needed)
  • Bonus: Twice a year (based on performance and results)
  • Incentives

*Depends on employment status


  • Social insurance
  • Labor insurance
  • Corporate defined contribution pension plan
  • Trust-type stock option plan
  • Book purchase system
  • Kaggle and AtCoder support system
  • Use of Kilter Board

*Depends on employment status

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