Valbonne, FR
Live, first seen by us 41 days agoDevelop speech AI algorithms from architecture exploration to shipped features
Design and train deep learning models under latency, MIPS and footprint limits
Apply quantization and pruning to prepare models for deployment
Build evaluation stack with objective metrics, listening tests and regression tests
Generate and curate training data such as noise corpora and room impulse responses
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.
Main requirements: - MSc or PhD in Electrical Engineering, Computer Science or a related STEM field, with real depth in deep learning and signal processing (a BSc with equivalent demonstrated depth also works). - 5+ years building audio or speech ML algorithms, including at least one algorithm personally carried from research into a shipped product.
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- 5+ years building audio or speech ML algorithms, including at least one algorithm personally carried from research into a shipped product. - Hands-on model development and production experience in Python, with PyTorch or TensorFlow. - Track record of deploying models to real-time or embedded targets under latency, memory and compute constraints, iterating on the basis of measurements rather than intuition.
- (Preferred) Familiarity with model optimization techniques — quantization-aware training, pruning, knowledge distillation, and other methods for compressing models without sacrificing performance. - (Preferred) Cloud-based training environments (GCP or equivalent) and experience with GPU cluster workflows. - (Preferred) Exposure to regulated or medical-device product development.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
If you’ve worn a pair of glasses, we’ve already met.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.
Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.
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Your #FutureInSight with EssilorLuxottica
Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible!
Based in Sophia Antipolis, France, Pulse Audition is a fresh start-up like team within EssilorLuxottica. The team consists of experts in AI, Audio Signal processing, Audiology, Hardware and Software who are working together to developp cutting-edge technologies to be integrated into smart eyewear products, to improve the social inclusion of people suffering from hearing loss.
Your role
We are looking for an AI/ML Speech Algorithm Engineer who will join our Audio AI team to work on cutting-edge speech AI technologies for hearables, contributing across the full research-to-productization pipeline — from exploring novel architectures and proof-of-concept work through productization and deployment on resource-constrained wearable devices.
Main responsibilities:
Main requirements:
Our Diversity, Equity and Inclusion commitment
We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.
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Valbonne, FR
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