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(Senior) AI/ML Engineer - Audio (f/m/d)

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in ML, DL, ASR, TTS, Audio Data Processing, Familiarity with speech recognition and synthesis systems.

Key responsabilities:

  • Design, evaluate and select ML models for infotainment software
  • Enhance in-car experience by creating AI-powered functionality
  • Develop training protocols and improve software stack
  • Select and incorporate best ML models into software architecture
Cinemo logo
Cinemo SME https://www.cinemo.com
201 - 500 Employees
See more Cinemo offers

Job description

Position Description
As a (Senior) Software Engineer at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to design, develop, and maintain high-quality Cinemo’s in-vehicle infotainment software solutions that meet the needs of our customers.
In this role, you will:
  • Design, evaluate and select the ASR/TTS/Audio ML models and underlying software architecture to be used in the next-generation automotive infotainment middleware
  • Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
  • Select and tune of the best ASR/TTS/Audio ML models and incorporate them in the wider automotive infotainment middleware software architecture 
  • Design training protocols as well as continuous improvement of the software stack reflecting advancements in the field of ML
What you will need to succeed:
  • Experience in the areas of Machine Learning, Deep Learning, Speech Recognition, Speech Synthesis and Audio Data Processing
  • Experience with state-of-the-art speech recognition models and developing ASR-systems (e.g. using Kaldi, Wav2Vec, Whisper, DeepSpeech)
  • Fundamental knowledge in developing and evaluating TTS systems (e.g. using XTTS, WaveNet, Tacotron)
  • Experience with performance evaluation and optimization of Audio/Speech Processing algorithms
  • Strong knowledge of Python, C/C++, PyTorch, TensoFlow, Keras
  • Good written and verbal English communication skills

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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