AI Engineer (Voice & Speech)

• The AI Engineer will work at the intersection of AI Research Product Engineering and Production focusing on the development of advanced Speech AI and Voice AI capabilities.
  
• The role involves researching and developing speech technologies building end-to-end AI pipelines deploying models into production environments and continuously optimizing AI systems for accuracy scalability latency and real-world performance.
  

Speech AI Research & Development

• Explore and prototype new approaches to solve complex speech and audio AI problems.
  
• Develop fine-tune and adapt speech models for practical real-world applications.
  
• Evaluate different modeling approaches and conduct systematic experiments to improve model performance.
  
• Research and reproduce state-of-the-art Speech AI methods and translate promising research findings into production-ready solutions.
  
• Design rigorous experiments benchmarks and error analyses to understand model limitations and identify opportunities for improvement.
  
• Explore alternative modeling approaches when existing solutions are insufficient.
  

Speech AI System Development

• Develop and optimize intelligent voice technologies including Automatic Speech Recognition Text-to-Speech audio processing speech enhancement speech understanding and voice interaction systems.
  
• Improve speech recognition accuracy robustness and performance across different environments and use cases.
  
• Improve speech synthesis quality naturalness and reliability.
  
• Design AI solutions that can operate effectively under real-world audio conditions.
  

End-to-End Audio AI Pipelines

• Design develop and optimize production-ready audio AI pipelines that connect AI models with real-world applications.
  
• Build audio preprocessing and feature extraction pipelines.
  
• Develop noise suppression and speech enhancement capabilities.
  
• Build and optimize real-time audio streaming and processing systems.
  
• Develop model serving and inference pipelines.
  
• Integrate AI models into cloud mobile and other deployment environments.
  
• Design and implement end-to-end AI workflows from data preparation and model development through deployment and monitoring.
  

AI-Powered Product Development

• Collaborate closely with Product Mobile Backend and other Engineering teams to transform AI capabilities into practical product experiences.
  
• Contribute to voice recording and transcription capabilities.
  
• Develop AI-powered voice assistants and voice-driven workflows.
  
• Build natural conversational experiences and speech-enabled product features.
  
• Integrate AI capabilities into mobile applications and business workflows.
  

AI Model Production & Scalability

• Take AI models from research prototypes through deployment into reliable production systems.
  
• Optimize inference latency and computational resource consumption.
  
• Optimize AI models for different deployment environments and hardware constraints.
  
• Build scalable stable and reliable AI services.
  
• Monitor model performance in production environments and use real-world feedback to continuously improve models and systems.
  
• Identify performance degradation model limitations and opportunities for optimization after deployment.
  

Data & Experimentation

• Build and improve high-quality datasets for model training and evaluation.
  
• Contribute to data collection synthetic data generation data augmentation and quality validation processes.
  
• Develop appropriate evaluation datasets and benchmarks for Speech AI applications.
  
• Continuously improve models and datasets based on experimental results and production feedback.
  

• At least 3 years of experience developing AI/ML systems or AI-powered products.
  
• Strong Python programming skills.
  
• Hands-on experience with deep learning frameworks such as PyTorch TensorFlow or equivalent technologies.
  
• Proven experience deploying AI models into production environments.
  
• Solid understanding of speech processing audio machine learning and deep learning techniques.
  
• Hands-on experience with at least one area of Speech AI including Automatic Speech Recognition Text-to-Speech Audio AI or Voice AI applications.
  
• Ability to design and implement end-to-end AI and machine learning workflows.
  
• Experience conducting model experimentation evaluation benchmarking and performance optimization.
  
• Ability to translate research concepts into practical and scalable engineering solutions.
  
• Strong analytical and problem-solving skills.
  
• Product-oriented mindset with the ability to balance model performance engineering constraints and user experience.
  
• Ability to collaborate effectively with cross-functional engineering and product teams.
  

• Experience working with modern Speech AI foundation models frameworks or technologies such as Whisper wav2vec 2.0 NVIDIA NeMo XTTS VITS SpeechBrain Kaldi or equivalent solutions.
  
• Experience deploying AI models on mobile or edge devices.
  
• Experience with real-time audio streaming and processing systems.
  
• Knowledge of speaker recognition and speaker diarization.
  
• Experience with voice cloning technologies.
  
• Strong knowledge of digital audio and signal processing.
  
• Experience integrating Large Language Models into AI applications.
  
• Experience developing conversational AI or intelligent voice interaction systems.
  

• Competitive compensation and performance-based incentives based on capabilities and contribution.
  
• Full statutory benefits in accordance with applicable labor regulations and company policies.
  
• Opportunities to work on challenging AI problems and apply state-of-the-art research to real-world applications.
  
• Ownership of the complete AI development lifecycle from research and experimentation to model development deployment monitoring and continuous optimization.
  
• Opportunities to collaborate with experienced AI Engineers Software Engineers and Product professionals.
  
• Strong exposure to production-scale AI engineering and the development of practical Speech AI and Voice AI products.
  
• Continuous learning and professional development opportunities in artificial intelligence machine learning speech technologies and production AI systems.
  
• Opportunities to create measurable product impact by developing AI capabilities that directly improve user experiences.
  

Contact: Giang Van or Thao Phan or Thuong Le