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An established industry player is seeking a talented machine learning engineer to design and implement cutting-edge NLP models. This role involves optimizing language-specific models, collaborating with cross-functional teams, and mentoring junior engineers. Join a passionate team dedicated to innovation in the automotive industry, where your expertise will help shape the future of voice and AI technology. If you are driven by a passion for machine learning and NLP, this opportunity offers a chance to work on impactful projects in a rapidly evolving field.
Design, implement, and optimize polyglot and language-specific machine learning models for a broad range of languages, with a strong focus on seq2seq models and classifiers.
Develop and enhance solutions employing such models to solve challenging text normalization and classification problems in the context of text-to-speech.
Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.
Conduct research and stay up-to-date with the latest advancements in NLP and machine learning.
Mentor and guide junior engineers and linguistic experts, providing technical leadership and fostering a culture of continuous learning.
Cerence Inc. (Nasdaq: CRNC) is the global leader in creating unique experiences for the automotive industry. Spun out from Nuance in October 2019, Cerence has quickly established itself as a leader in automotive voice assistants, working with leading automakers worldwide. With over 20 years of industry experience, Cerence’s solutions are present in more than 70 languages and over 500 million cars on the road.
As Cerence looks to the future and continues its growth, we seek talented individuals to help build the future of voice and AI in automotive. Join our passionate, global team and contribute to meaningful innovation in a rapidly evolving industry.
Cerence is committed to Equal Employment Opportunity (EEO) and complies with all laws prohibiting employment discrimination based on age, race, gender, and other protected classes. We promote a safe and inclusive workplace, adhering to security policies and data privacy standards.