Cerence Inc.
Cerence Inc.
1,001 – 5,000 Employees
ConsultingLogisticsManufacturing
Cerence Inc. develops AI technology for connected vehicles and transportation. Its conversational and generative AI solutions help cars, trucks, and two-wheelers deliver more natural, personalized interactions through voice and other in-vehicle experiences. The company’s automotive language models and integrated software are used by more than 80 OEM and Tier 1 customers, with its technology shipped in over 500 million vehicles worldwide. Cerence focuses on advancing practical, seamless AI for the automotive industry.

Principal AI Researcher, Large Language Models (Remote) at Cerence

Lead generative AI and large language model research for Cerence’s automotive voice companions. Improve dialog, search, and destination-entry experiences for global automakers.

Description

  • Build architectures powered by advanced generative AI models for dialog, destination entry, search, and related applications
  • Improve LLM accuracy, naturalness, and performance through prompt engineering and fine-tuning
  • Partner with data scientists, software engineers, and subject-matter experts to create tailored LLM solutions
  • Investigate new approaches and strengthen existing models through LLM integration
  • Optimize model performance and inference speed for resource-constrained platforms
  • Track developments, research, methods, technologies, and best practices in generative AI, dialog, and language modeling

Requirements

  • Deep experience and proven expertise in developing large language models
  • Experience applying large language models to dialog, virtual assistants, automatic speech recognition, visual processing, or text-to-speech applications
  • Advanced degree in computer science, electrical engineering, or a related discipline; a Ph.D. is preferred
  • Advanced Python programming ability
  • Capability to implement complex machine learning algorithms
  • Strong analytical reasoning and problem-solving skills
  • A collaborative working style
  • Foundational understanding of information security and data privacy requirements
  • Demonstrated information security knowledge through internal training programs

Benefits

  • 10% annual bonus opportunity
  • Medical, dental, and vision insurance coverage
  • Paid time off and sick leave
  • Employee Stock Purchase Plan
  • Retirement savings programs
  • Paid time to volunteer in the community
  • Learning and development support, including tuition reimbursement
  • Employee assistance resources
  • Wellness resources
  • Global Rewards and Recognition program

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