This position is closed and is no longer accepting applications.

Audio Machine Learning Engineer

amptalk Shibuya, Tokyo April 1 2025
  • 💴 ¥5M ~ ¥8.5M annually
  • 🏡
    Partially remote
  • 🌏
    Apply from abroad
    Relocate to Japan
  • 💬
    Business Japanese
    Business English
  • 🧪
    Intermediate level
    1+ years experience required

About amptalk

amptalk Shibuya, Tokyo

amptalk is a sales enablement tool that automatically captures recorded sales calls on Zoom, transcribes the conversation, and analyzes the content.

Key benefits

  • International team
  • Rapidly growing

About the position

You will be responsible for our company’s amptalk AI technology, focusing on the development and proof of concept for machine learning models in the areas of speech and natural language.

Rather than researching the latest technology, our main focus is on delivering good products quickly, with a focus on providing value to users. This means we consider using external ML APIs, in addition to models developed in-house.

Tech stack

  • Language (machine learning): Python
  • Language (backend): Python, TypeScript
  • Machine learning libraries: scikit-learn, PyTorch Infrastructure: AWS
  • Code management: GitHub
  • CI: GitHub Actions

Responsibilities

  • Creating proof of concept ML models
  • Improving the accuracy of existing models
  • Backend development to serve ML models in production environments

Requirements

  • 1+ years of experience developing ML models for speech recognition.
  • 1+ years of experience developing backend systems using ML models
  • Business level Japanese ability

Nice to haves

While not specifically required, tell us if you have any of the following.

  • Backend development experience using TypeScript
  • Speech recognition and NLP experience
  • Experience in building MLOps
  • Kaggle experience

Compensation

¥5,000,000 ~ ¥8,500,000 annually.

Hiring Process

  1. 1

    Interview with HR

  2. 2

    Multiple Interviews with engineers

    (Including Technical interview)

  3. 3

    Final interview

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