3 Asr Models Jobs

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! 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 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 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. 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 in developing and implementing ASR models specifically for automotive voice assistants. The person should be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR frameworks. 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 to seamlessly integrate LLM-based features and functionalities. - Design and implement software components and modules to integrate LLM capabilities into Cerence'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: - Demonstrated expertise in creating Natural Language Processing (NLP) solutions using Deep Learning techniques, with a focus on integrating Large Language Models. - An advanced degree in computer science, computational linguistics, or a related field. - Highly proficient in Python and Deep Learning frameworks such as Tensorflow or PyTorch. - Experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments. - 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: - Annual bonus opportunity - Insurance coverage - Paid time off - Paid holidays - Equity-based awards for some positions and levels - Remote and/or hybrid work available depending on position. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence's passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to the company's compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.,

As a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer at Cerence ai, you will have the opportunity to make a significant impact in the dynamic automotive industry alongside a high-performing global team. Cerence ai is the global leader in AI for transportation, specializing in AI and voice-powered companions for vehicles that enhance the overall driving experience for both drivers and passengers. With over 500 million cars equipped with Cerence ai technology, we collaborate with leading automakers and technology companies to create intuitive, integrated experiences that prioritize safety, connectivity, and enjoyment during journeys. Your role at Cerence ai will involve designing, building, and optimizing cutting-edge ASR models tailored for automotive applications, ensuring high accuracy and low latency in voice recognition tasks. You will be responsible for assessing the performance of ASR systems in real-world driving conditions, including diverse accents and languages, as well as noisy on-road environments. Collaboration with cross-functional teams, including product managers, software engineers, and UX designers, will be essential to seamlessly integrate ASR features into automotive voice assistant systems. Additionally, you will conduct innovative research in ASR technology, focusing on integrating generative AI and large language models to enhance voice interaction capabilities in automotive systems. To excel in this role, you should possess a Master's or Ph.D. in Computer Science & Engineering, Linguistics, Applied Mathematics, or a related field, along with 5+ years of hands-on experience in developing ASR systems, preferably for automotive applications. Proficiency in machine learning frameworks such as TensorFlow and PyTorch, as well as programming languages like Python, is required. Strong knowledge of speech processing technologies, natural language processing, deep learning techniques, and large language models is essential. Prior experience with cloud computing platforms and familiarity with automotive standards and protocols are advantageous. At Cerence ai, we offer a generous compensation and benefits package, including annual bonus opportunities, insurance coverage, paid time off, equity awards, and the option for remote or hybrid work arrangements. Join us in shaping the future of voice and AI in cars and be part of a dedicated team committed to driving innovation in the automotive industry. Cerence Inc. is an equal opportunity employer, and we value diversity, inclusion, and a collaborative work environment where employees can thrive and contribute to meaningful advancements in technology.,

1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. What you will bring to the Table: Technical Skills 8+ Years of overall experience, Strong expertise in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.