Position : Senior Speech Scientist

Location : Hyderabad

Type : Full-Time

CTC : Competitive

About YAL

YAL.ai (Your Alternative Life) is a revolutionary end-to-end communication and discovery platform reimagining how people connect, interact, and collaborate.

We combine state-of-the-art AI with a Zero Trust Architecture, ensuring every interaction is private, secure, and intelligent. From on-device ASR models and multilingual speech-to-speech AI to fraud detection and real-time discovery systems, YAL.ai is building the future of secure communication.

With our vision Where AI Meets Integrity. We're crafting an ecosystem where users experience privacy-first communication, intelligent discovery, and cutting-edge AI innovation at scale.

About the Role

We are looking for a Senior Speech Scientist to design, build, and improve speech and language models that enhance our product experiences. You will work on challenging problems across the speech processing stack, collaborate with a talented team, and deliver measurable impact through rigorous research and engineering.

Responsibilities

Research, develop, and optimize models for speech translation, automatic speech recognition (ASR), text-to-speech (TTS), voice activity detection, speaker identification, speech enhancement or related areas
Design and run experiments, analyze results, and iterate quickly to improve system performance
Build robust data pipelines for training, evaluation, and deployment of speech models
Collaborate with engineering teams to integrate speech models into production systems with attention to latency, accuracy, and scalability
Stay current with the latest research, evaluate new techniques, and propose adoption where appropriate
Contribute to technical documentation, internal knowledge sharing, and peer code reviews
Participate in the hiring process and mentor junior team members

Qualifications

Masters. in Speech Processing, Electrical Engineering, Computer Science, Computational Linguistics, or a related field
4+ years of hands-on experience developing speech or audio ML models in an industry setting
Strong understanding of signal processing fundamentals, acoustic modeling, and language modeling
Proficiency in Python and at least one deep learning framework (PyTorch preferred)
Experience training and fine-tuning large neural network architectures (Transformers, Conformers, RNN-T, etc.)
Solid software engineering skills and comfort working in production codebases
Strong analytical and problem-solving skills with attention to experimental rigor
Effective written and verbal communication skills

Nice to Have

Publications at top speech or ML conferences
Experience with streaming/real-time speech processing systems
Familiarity with model compression, quantization, and on-device deployment
Experience working with multilingual or low-resource speech data