Description

You will develop and optimize large-scale, carrier-grade automatic speech recognition systems.

Responsibilities

• Extend and maintain large-scale automatic speech recognition systems and related products.
• Design and optimize code, algorithms, and APIs using Java, Python, and C++.
• Develop enhancements for acoustic modeling mechanisms and implement state-of-the-art features.
• Improve the performance of language models and decoder algorithms.
• Document all designs and procedures in detail.

Required Skills

• 5+ years of software engineering experience.
• Proficiency in Java, C/C++, and Python.
• Deep knowledge of statistical probability theory and speech algorithms.
• Experience with HMM, GMM, FST, and acoustic modeling.
• Expertise in advanced machine learning techniques.
• Strong understanding of NLP, SLM, or Information Retrieval.
• Ability to read, adapt, and implement algorithms from academic journals and papers.
• Knowledge of DSP theory, feature extraction, scripting, and parsing techniques.
• Skill in runtime analysis and API design.

Preferred Skills

• Experience designing and running ASR experiments using HTK or KALDI.

Key Skills

Education

Any Graduate