Senior Speech AI Engineer for Wearable Hearables

EssilorLuxottica; Valbonne; Remote; EUR 90,000 - 120,000; Full time

Job summary

EssilorLuxottica's Pulse Audition team in Sophia Antipolis is seeking an AI/ML Speech Algorithm Engineer to advance speech AI for hearables, bridging research and productization.

You will work on end-to-end speech processing, from architecture exploration to deployment on resource-constrained wearable devices, collaborating with audio experts.

The role requires a strong foundation in deep learning, experience shipping models, and a drive to push the boundaries of vision and hearing technology.

Qualifications

• Deep learning and signal processing expertise.
• 5+ years building audio or speech ML algorithms.
• Experience deploying models to real-time or embedded targets.
• Hands-on Python with PyTorch or TensorFlow.

Responsibilities

• Contribute to speech AI algorithms end to end — speech enhancement, acoustic feedback cancellation, beamforming, acoustic scene recognition — from architecture exploration through to a verified feature on a shipping device.
• Design, train and evaluate deep learning architectures against hard real-time latency, MIPS and footprint budgets, incorporating quantization, pruning and other model optimization techniques for deployment.
• Build out the evaluation stack: objective and perceptual metrics, listening tests with audiology colleagues, and regression testing to verify model improvements.
• Generate and curate the data the models need — noise corpora, room impulse responses and acoustic simulation, multi-microphone and binaural recordings.
• Contribute reusable training and testing infrastructure across tasks.

Skills

Speech ML

Python

Deep learning

Real-time systems

Education

MSc/PhD in Electrical Engineering or Computer Science

BSc with equivalent depth

Tools

PyTorch

TensorFlow

Job description

EssilorLuxottica's Pulse Audition team in Sophia Antipolis is seeking an AI/ML Speech Algorithm Engineer to advance speech AI for hearables, bridging research and productization.

You will work on end-to-end speech processing, from architecture exploration to deployment on resource-constrained wearable devices, collaborating with audio experts.

The role requires a strong foundation in deep learning, experience shipping models, and a drive to push the boundaries of vision and hearing technology.