Senior Research Engineer (ASR)

Job Description

Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride!

Who is Cerence?

Cerence 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 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

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Our Driving Forc

e 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 growt

h.Interested in having a significant impact in a dynamic industry with a high-performing global tea

m?We are seeking a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer to join our dynamic team. The ideal candidate will have a robust background (experience or knowledge) in developing and implementing ASR models specifically for automotive voice assistants. Person should be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR framework

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Your Imp

• actModel Development: Design, build, and optimize state-of-the-art ASR models tailored for automotive applications, ensuring high accuracy and low latency in voice recognition tas
• ks.Assess the performance of ASR systems in real-world driving conditions including diverse accents and languages, noisy on-road conditions to train and validate ASR models effectively. Ability to conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world scenarios. Iterate on models based on empirical data and user feedba
• ck.Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and UX designers, to ensure seamless integration of ASR features into automotive voice assistant syste
• ms.Research & Innovation: Conduct cutting-edge research in ASR technology, focusing on integrating generative AI and LLM advancements to enhance voice interaction capabilities in automotive syste
• ms.Stay Updated: Keep abreast of the latest trends and technologies in ASR, generative AI, and voice user interfaces to enhance the overall performance of our systems continual

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What you b

• ringMaster's or Ph.D. in Computer Science & Engineering, Linguistics, Applied mathematics or a related fi
• eld.5+ years of hands-on experience in developing ASR systems, preferably for automotive applicati
• ons.Proficient on machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python
• etc.Hands-on experience on speech processing technologies, familiarity with the challenges of speech recognition in noisy environments, particularly in a vehicle cont
• ext.Proven experience with natural language processing (NLP), deep learning techniques and integration of LLMs (e.g., OpenAI's GPT, BE
• RT).Prior experience with training and fine-tuning large language models using large-scale datasets and distributed computing environme
• nts.Working Knowledge of any cloud computing platforms (e.g., AWS, Azure, Google Cloud) to deploy and scale ASR soluti
• ons.Excellent analytical and problem-solving skills, with a keen eye for det
• ail.Ability to manage tasks and deliverables for simultaneous proje
• cts.Ability to work well both independently and within a t
• eam.Strong Knowledge or Experience with generative AI techniques and their application in enhancing conversational AI systems (Preferr
• ed).Familiarity with automotive standards and protocols (Preferr