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Research and develop novel AI-powered audio understanding algorithms, including sound event detection, localization, acoustic scene analysis, anomaly detection, and multimodal context understanding. Build datasets, pipelines, evaluation protocols, and real-time prototypes for embedded devices. Collaborate with machine learning, DSP, psychoacoustics, and software engineering teams to integrate models into product platforms and contribute to publications or patents.
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CC++Digital Signal Processing (Dsp)Embedded Machine LearningImu SensorsOnnxPythonPyTorchTensorflow Lite
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop agentic workflows that automate audio ML experimentation, including data preparation, training, evaluation, benchmarking, regression testing, reporting, and reproducible execution. Build tooling for GPU scheduling, experiment tracking, artifact management, and resource monitoring across on-premises and cloud infrastructure. Partner with audio researchers to create reliable, observable systems and dashboards for real-time audio AI development.
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Leads the UKI enterprise sales organization, managing and developing Enterprise Account Executives, driving pipeline, forecasting, territory planning, customer expansion, new workload acquisition, and revenue growth. The role owns hiring, enablement, sales methodology adoption, performance management, complex enterprise negotiations, and cross-functional go-to-market execution. Candidates need substantial enterprise software sales leadership experience, a track record of exceeding quotas, and fluency in French.
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