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
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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
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Design and run experiments, analyze results, and iterate quickly to improve system performance
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Build robust data pipelines for training, evaluation, and deployment of speech models
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Collaborate with engineering teams to integrate speech models into production systems with attention to latency, accuracy, and scalability
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Stay current with the latest research, evaluate new techniques, and propose adoption where appropriate
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Contribute to technical documentation, internal knowledge sharing, and peer code reviews
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Participate in the hiring process and mentor junior team members
Qualifications
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Masters. in Speech Processing, Electrical Engineering, Computer Science, Computational Linguistics, or a related field
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4+ years of hands-on experience developing speech or audio ML models in an industry setting
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Strong understanding of signal processing fundamentals, acoustic modeling, and language modeling
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Proficiency in Python and at least one deep learning framework (PyTorch preferred)
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Experience training and fine-tuning large neural network architectures (Transformers, Conformers, RNN-T, etc.)
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Solid software engineering skills and comfort working in production codebases
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Strong analytical and problem-solving skills with attention to experimental rigor
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Effective written and verbal communication skills
Nice to Have
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Publications at top speech or ML conferences
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Experience with streaming/real-time speech processing systems
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Familiarity with model compression, quantization, and on-device deployment
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Experience working with multilingual or low-resource speech data
