Senior Data Scientist- Audio And Speech (Multimodal AI)
Posted 17 days ago · 0 applicants
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The role in plain words
This role involves designing and developing advanced audio, speech processing, and multimodal AI models for real-time and mission-critical defense environments. Day to day, you will fine-tune Speech-to-Text models, develop speaker identification and sentiment analysis tools, and optimize audio pipelines for on-prem and edge hardware. You will also collaborate with ML engineers and domain experts to build generative audio solutions like noise reduction and voice conversion.
- Solid background in Machine Learning, Deep Learning, and Audio Signal Processing
- 5+ years hands-on experience developing and deploying speech or audio-based AI models
- 3+ years focused on STT / ASR, TTS, speaker recognition, or sentiment analysis
- Deep familiarity with architectures such as Conformer, Whisper, RNN-Transducer, FastSpeech / Tacotron, speaker embedding networks, and self-supervised speech representations
- Experience handling noisy, real-time audio, latency optimization, and edge-device constraints
- Publication record, Kaggle or challenge participation, or equivalent
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced Data Scientist with at least 5 years of experience in audio AI and 3+ years focused on STT, TTS, or speaker recognition. It is less ideal for candidates looking for remote work or those without a strong background in deep learning and audio signal processing.
Full job description
Original listing · kept for reference• Are you ready to push the boundaries of Audio Intelligence
We’re looking for a Senior Data Scientist with deep expertise in Audio AI, Speech Processing, and Generative Modeling to design and develop advanced on‑prem multimodal systems capable of understanding, generating, and analyzing complex audio streams in noisy, real‑world environments
You’ll join a world‑class Defense Tech AI team building speech‑driven solutions that enable intelligent communication, operational insight, and next‑generation human‑machine interaction
:What You’ll Do
Fine tune, and evaluate Speech‑to‑Text (STT) models optimized for noisy, low‑latency, and mission‑critical environments
Develop speaker identification and diarization ,sentiment and emotional analysis to detect tone, stress levels, and affective patterns
Design and optimize multimodal pipelines combining audio, text, and visual inputs for enhanced semantic understanding and cross‑modal reasoning
Contribute to Generative AI innovations - noise reduction, voice conversion, speech enhancement, and conversation insights
Collaborate closely with ML engineers and research peers to deploy, scale, and optimize Audio AI models on‑prem and edge hardware
Work with domain experts to adapt models for real‑time speech understanding, decision support, and behavioral insights
:Your Expertise
Solid background in Machine Learning, Deep Learning, and Audio Signal Processing
5+ years hands‑on experience developing and deploying speech or audio‑based AI models
3+ years focused on STT / ASR, TTS, speaker recognition, or sentiment analysis
Deep familiarity with architectures such as Conformer, Whisper, RNN‑Transducer, FastSpeech / Tacotron, speaker embedding networks, and self‑supervised speech representations
Experience handling noisy, real‑time audio, latency optimization, and edge‑device constraints
Understanding of semantic embeddings, multimodal search, and RAG architectures
Strong data‑driven mindset and ability to conduct research on novel Audio AI approaches
Comfortable working with Agile workflows, MLOps, and DevOps principles
Publication record, Kaggle or challenge participation, or equivalent — Advantage
:Why Join Us
Work with leading researchers and engineers on next‑generation Speech and Audio Intelligence
Make a direct impact on speech understanding, generation, and sentiment analytics in real‑world applications
Collaborate on cutting‑edge multimodal AI systems integrating vision, audio, and language
Be part of a forward‑thinking team that values creativity, research excellence, and continuous learning
Shape the future of Audio and Speech AI — from concept to deployment
**Only suitable applications will be considered
#Netanya
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- On-site
- Solid background in Machine Learning, Deep Learning, and Audio Signal Processing, 5+ years hands-on experience developing and deploying speech or audio-based AI models, 3+ years focused on STT / ASR, TTS, speaker recognition, or sentiment analysis, Deep familiarity with architectures such as Conformer, Whisper, RNN-Transducer, FastSpeech / Tacotron, speaker embedding networks, and self-supervised speech representations, Experience handling noisy, real-time audio, latency optimization, and edge-device constraints