AI Engineer — Speech & Voice Intelligence
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Key skills for this role
About the Role
CNTXT is building voice AI infrastructure for Arabic speakers and seeks an AI engineer or researcher passionate about speech technology. You will work on TTS, ASR, and speech-to-speech models, fine-tuning and shipping improvements to production.
Key Skills for This Role
Responsibilities
- Benchmark and evaluate TTS and ASR models on Arabic test sets
- Fine tune pretrained TTS models on curated Arabic data
- Experiment with audio tokenizer and codec configurations
- Build and maintain Arabic speech data pipelines
- Optimize models for production serving
- Evaluate and adapt speech to speech pipelines
Requirements
- Strong foundations in machine learning and deep learning
- Hands on experience training or fine tuning neural models
- Comfortable with Python, PyTorch, and the HuggingFace ecosystem
- Able to read research papers and translate ideas into experiments independently
- Clear communicator who can work across research and engineering
Full Job Posting
About CNTXT
- CNTXT is building voice AI infrastructure for the Arabic speaking world.
- We work on natural speech synthesis, real time transcription, and conversational voice systems with a focus on Arabic language quality.
About The Role
- We're looking for an AI engineer or researcher who is passionate about voice and speech technology.
- You'll work directly on the models and systems that power our speech products — evaluating architectures, running fine tuning experiments, and shipping improvements to production.
- This is a hands on role that sits at the intersection of research and engineering.
What Our Team Works On
- Speech Synthesis (TTS): Build and fine tune Arabic TTS systems based on state of the art generative architectures.
- Speech Recognition (ASR): Work with encoder decoder and CTC based ASR models to build accurate, low latency Arabic transcription.
- Speech to Speech: Build end to end voice interaction pipelines that chain ASR, language understanding, and TTS.
- Arabic Language Challenges: Address diacritization, dialect variation, and scarce training data.
What You'll Work On
- Benchmark and evaluate TTS and ASR models on Arabic test sets.
- Fine tune pretrained TTS models on curated Arabic data.
- Experiment with audio tokenizer and codec configurations.
- Build and maintain Arabic speech data pipelines.
- Optimize models for production serving.
- Evaluate and adapt speech to speech pipelines.
What We're Looking For
- Strong foundations in machine learning and deep learning.
- Hands on experience training or fine tuning neural models.
- Comfortable with Python, PyTorch, and the HuggingFace ecosystem.
- Able to read research papers and translate ideas into experiments independently.
- Clear communicator who can work across research and engineering.
Nice to Have
- Native or fluent Arabic speaker.
- Prior work with speech or audio models.
- Familiarity with Arabic linguistic structure, diacritization tools, and NLP preprocessing for Arabic.
- Experience with inference optimization.
- Publications or open source contributions in speech or audio.
What We Offer
- Work at the frontier of Arabic voice AI.
- Direct influence on product and research direction.
- Small, focused team — your work ships and matters.
- Competitive compensation and remote flexibility.
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