Voice AI Engineer

We are seeking a highly skilled Voice AI ASR TTS professional to join our innovative team within the computer software industry. As part of our commitment to enhancing user experience through cutting-edge technology, you will play a pivotal role in the development and optimization of automated speech recognition (ASR) and text-to-speech (TTS) systems. You will work closely with interdisciplinary teams to design, implement, and evaluate various voice AI solutions. Your expertise will not only contribute to product enhancements but also shape the future of voice-enabled applications across diverse sectors. In this challenging and rewarding position, you will analyze user requirements and translate them into functional specifications, ensuring the delivered products meet the highest quality standards. You will be involved in the entire project lifecycle, from concept through to deployment, focusing on performance tuning and achieving high accuracy in real-world scenarios. This role offers a unique opportunity to leverage your technical skills while collaborating with forward-thinking professionals who are as passionate about innovation as you are. If you are eager to tackle complex challenges and want to make a significant impact in the voice technology landscape, we encourage you to apply and contribute to groundbreaking developments in the field of Voice AI.

• Design, implement, and optimize ASR and TTS algorithms and systems.
• Collaborate with cross-functional teams to define voice application requirements and specifications.
• Conduct rigorous testing and evaluation of voice solutions for improved accuracy and performance.
• Analyze speech data to identify trends and areas for enhancement in voice recognition technologies.
• Lead initiatives in the research and development of state-of-the-art voice AI technologies.
• Support integration of ASR and TTS systems within various applications and platforms.
• Provide technical guidance and mentorship to junior team members on voice AI-related projects.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master’s degree preferred.
• Proven experience of 2+ years with automatic speech recognition and text-to-speech technologies.
• Strong programming skills in languages such as Python, Java, or C++.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of acoustic modeling and language processing.
• Excellent analytical and problem-solving abilities in a fast-paced environment.
• Strong communication skills with the ability to collaborate effectively with diverse teams.