Audio Machine Learning Data Engineer at Logitech International S.A. (Lausanne, Switzerland) | Careerkit Jobs
Publié il y a 4 jours
Logitech International S.A.·Software·Lausanne, Vaud
Audio Machine Learning Data Engineer
PosteTemps plein · Permanent · Mid · Ingénierie
ModalitésHybride
RémunérationComprehensive and competitive benefits packages; flexible working environments.
Exigences3+ ans d'exp. · Bachelor · Permis UE/AELE
Votre correspondance
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Compétences
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DocumentationAutomationData CleaningData curationData augmentationMachine learningAudio quality assessmentData AnalysisResource planningTechnical leadershipCollaboration with Data EngineersData platform development
Langues
Anglais
Rémunération
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Comprehensive and competitive benefits packages; flexible working environments.
Le poste
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As an Audio Machine Learning Data Engineer on the Logitech Hardware Audio Machine Learning and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.
01Data Pipeline Management: Ensuring the integrity and quality of Audio Machine Learning data pipelines and datasets.
02Model Development and Deployment: Collaborating with the team to develop and deploy Audio Machine Learning models.
03Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelines.
04Evaluate and implement scalable data augmentation techniques.
05Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio Machine Learning models.
06Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.
07Formulate and execute strategies for continuous improvement of existing datasets.
Exigences
↳Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets.
↳Python Proficiency: Strong proficiency in Python for both Machine Learning model development and automating data pipelines.
↳Data Pipelines and Machine Learning Frameworks: Proven expertise in building scalable data pipelines and expertise in employing Machine Learning frameworks (TensorFlow, Keras).
Avantages
＋Comprehensive and competitive benefits packages.
＋Flexible working environments.
＋Support for good physical, financial, emotional, intellectual and social wellbeing.
Technologies
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PythonTensorFlowKerasCSQLGit
Entreprise
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Logitech International S.A.
Software
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
