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Scientifique de données principal / Senior Data Scientist

Scientifique de données principal / Senior Data Scientist

Cerence Inc., MA, United States
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  • . ##
  • A Moving Experience.
  • Scientifique de recherche senior
  • Description de Poste
  • Cerence AI est le leader mondial de l'IA pour le transport, spécialisé dans la création de compagnons alimentés par l'IA et la voix pour les voitures, les deux-roues et plus encore, permettant aux utilisateurs de se concentrer sur l'essentiel. Avec plus de 500 millions de voitures équipées de la technologie Cerence AI, nous collaborons avec des constructeurs automobiles de renom tels que Volkswagen, Mercedes, Audi, Toyota, et bien d'autres, des fournisseurs de mobilité et des entreprises technologiques pour offrir des expériences intuitives et intégrées, créant des trajets plus sûrs, plus connectés et plus agréables pour les conducteurs et les passagers.
  • Notre force motrice
  • Notre équipe, engagée à repousser les limites de l'innovation en IA, opère à l'échelle mondiale avec un siège social à Burlington, Massachusetts, USA, et 16 bureaux répartis en Europe, en Asie, et en Amérique du Nord. Nous réunissons des talents divers avec l'objectif commun de faire progresser la prochaine génération d'expériences utilisateur pour le transport. Notre culture est axée sur le client, collaborative, stimulante et conviviale, offrant des opportunités constantes d'apprentissage et de développement pour accompagner l'évolution de votre carrière.Nous recherchons un(e) scientifique de recherche senior, spécialisé(e) en LLM, prêt(e) à façonner l'avenir de la mobilité avec nous !
  • Votre impact
  • Concevoir et mettre en œuvre des modèles d'IA génératifs de pointe pour des applications de RAP ou de TTS grâce à l'utilisation experte de LLMs.
  • Exploiter votre expertise pour entraîner, affiner et optimiser efficacement les LLMs, les façonnant pour une précision, un naturel et des performances optimales dans les domaines de la RAP ou du TTS.
  • Collaborer étroitement avec des équipes interfonctionnelles comprenant des scientifiques de données, des ingénieurs logiciels et des experts du domaine. En comprenant leurs besoins, vous développerez conjointement des solutions de RAP ou de TTS personnalisées qui tirent parti de la puissance des LLMs.
  • Innover et améliorer les modèles existants de RAP ou de TTS en intégrant la puissance des LLMs, assurant ainsi des performances et une vitesse optimale même sur des plateformes aux ressources limitées.
  • Rester pleinement au fait des dernières avancées, tendances et recherches dans les domaines de l'IA générative, de la RAP, du TTS et de la modélisation du langage, en incorporant activement de nouvelles techniques, technologies et meilleures pratiques pour améliorer continuellement la performance globale de nos systèmes.
  • Ce que vous apportez
  • Un diplôme de deuxième cycle en informatique (Maitrise ou Doctorat), ou une formation équivalente.
  • Une expérience approfondie et une maîtrise démontrée dans le développement de Grands Modèles de Langage (LLM), idéalement en les reliant de manière transparente avec des applications de Reconnaissance Automatique de la Parole (RAP) ou de Synthèse Vocale (TTS).
  • Des compétences exceptionnelles en programmation Python ainsi qu'une forte capacité à implémenter des algorithmes complexes d'apprentissage automatique.
  • Un historique démontré dans le développement de systèmes de RAP ou de TTS, travaillant avec succès avec divers éléments tels que les modèles acoustiques, les modèles de langage et les modèles de prononciation.
  • Posséder une forte pensée analytique, des capacités de résolution de problèmes et un esprit collaboratif, garantissant votre capacité à prospérer dans notre environnement innovant et au rythme soutenu.
  • Ce que nous offrons
  • Nous offrons un ensemble avantageux de rémunération et de bénéfices, en supplément du salaire de base, comprenant :
  • Opportunité de bonus annuel
  • Couverture d'assurance (médicale, dentaire, vision, vie et invalidité)
  • Congés payés
  • Jours fériés payés
  • Contribution de l'entreprise au REER (Régime enregistré d'épargne-retraite)
  • Attribution d'actions pour certains postes et niveaux
  • Télétravail et / ou travail hybride disponible selon le poste
  • Toutes les compensations et avantages sont soumis aux termes et conditions des plans ou programmes sous-jacents, selon le cas, et peuvent être modifiés, résiliés ou remplacés à tout moment.
  • (English Version)
  • Cerence AI is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence AI's technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike.
  • Our Driving Force
  • Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth.
  • Your Impact
  • Leverage your expertise to effectively train, fine-tune, and optimize Large Language Models (LLMs) to achieve optimal accuracy, naturalness, efficiency, and scalability.
  • Collaborate with cross-functional teams, including other AI researchers and engineers, to seamlessly integrate LLM-based features and functionalities.
  • Design and implement software components and modules to integrate LLM capabilities into Cerence AI's speech recognition and natural language understanding systems.
  • Conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world scenarios.
  • Stay up-to-date with the latest advancements, trends, and research in AI and natural language processing (NLP) technologies to enhance the overall performance of our systems continually.
  • What You Bring
  • You have demonstrated expertise in creating Natural Language Processing (NLP) solutions using Deep Learning techniques, with a focus on integrating Large Language Models.
  • You have an advanced degree in computer science, computational linguistics, or a related field.
  • You are highly proficient in Python and Deep Learning frameworks such as Tensorflow or PyTorch.
  • You have experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments.
  • You possess excellent problem-solving skills, attention to detail, analytical thinking, and a collaborative mindset to work effectively within our fast-paced and innovative environment.
  • What we offer
  • We offer a generous compensation and benefits package (in addition to the base salary), including :
  • Annual bonus opportunity
  • Insurance coverage (medical, dental, vision, life, and disability)
  • Paid time off
  • Paid holidays
  • Company contribution to the RRSP (Registered Retirement Savings Plan)
  • Equity awards for certain positions and levels
  • Remote and / or hybrid work available depending on the position
  • All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.
  • Cerence Inc. (Nasdaq : CRNC and ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and

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