Cerence is the global industry leader in creating AI-powered user experiences for automotive and transportation.

Principal AI Scientist

AI Research ScientistMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2019H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

53 days ago

Salary

Not specified

Postgraduate DegreeEnglishPython

Job Description

• Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and port these models to any hardware platform. • Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual). • Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. • Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms. • Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling.

Job Requirements

Extensive experience and demonstrated mastery in developing LLM/MLLMs.
Well versed with commercial deployments, post-deployment support, model-profiling and optimization needed for production environments.
Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms.
Proven track-record in developing conversational AI systems, successfully working with diverse elements such as acoustic models, language models, and pronunciation models.
Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment.

Benefits

EQUAL OPPORTUNITY EMPLOYER
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 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.