ML Engineer: Speech Recognition, Stock Options & Remote

voize

United States

Remote

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Stock options
30 vacation days plus your birthday
Germany Transport Ticket
Urban Sports Club
Regular company off-sites
Learning platforms: Blinkist/Audible
Free language courses
Flexible hours, hybrid setup

Job summary

voize is seeking a Machine Learning Engineer focused on speech recognition. You will design and deploy deep learning models, train with real user data, and ship features that directly impact frontline users. You’ll optimize inference for mobile and hosted environments, and own the ML pipeline from concept to production.

Join a fast-growing startup with stock options, generous vacation, and learning platforms. Hybrid/remote options enable collaboration across teams while maintaining flexibility.

Qualifications

  • Hands-on experience in deep learning for speech recognition with production-ready systems.
  • Strong STT system development skills for real-world applications.
  • End-to-end ML lifecycle ownership: prototyping, productionisation, monitoring.

Responsibilities

  • Design, train, evaluate, and deploy deep learning models for speech recognition.
  • Improve on-device inference and cloud backend performance.
  • Collaborate with product, ML, and engineering teams to ship features.

Skills

Deep learning for speech
ASR systems
STT development
End-to-end ML process
Python & PyTorch

Education

Bachelor's degree in CS/ ML

Tools

Python
PyTorch
TensorFlow

Job description

voize is seeking a Machine Learning Engineer focused on speech recognition. You will design and deploy deep learning models, train with real user data, and ship features that directly impact frontline users. You’ll optimize inference for mobile and hosted environments, and own the ML pipeline from concept to production.

Join a fast-growing startup with stock options, generous vacation, and learning platforms. Hybrid/remote options enable collaboration across teams while maintaining flexibility.

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