LLM Data Researcher
TuringSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI for TransportationIndustries
Requirements
Candidates should possess an extensive experience and demonstrated mastery in developing Large Language Models, ideally relating them seamlessly with either Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) applications, and an advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field. Strong programming skills in Python and the ability to implement complex machine learning algorithms are also required.
Responsibilities
The Senior Research Scientist, LLM will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications through the proficient use of LLMs, leverage expertise to effectively train, fine-tune, and optimize LLMs, collaborate closely with cross-functional teams, innovate and enhance existing ASR or TTS models by integrating the power of LLMs, and stay fully abreast of the latest advancements in generative AI, ASR, TTS, and language modeling to continually enhance the overall performance of the systems.
Skills
Python
Large Language Models (LLMs)
Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Machine Learning Algorithms
AI Model Development
Generative AI
Model Fine-tuning
Model Optimization
Cerence
AI solutions for automotive in-car experiences
About Cerence
Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.
Key Metrics
Burlington, MassachusettsHeadquarters
2019Year Founded
$190MTotal Funding
IPOCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
1,001-5,000Employees