Senior Scientist/Researcher (Generative AI)/Senior Researcher, Generative AI

A Moving Experience.

Summary

At Cerence, we are at the forefront of the revolution in how humans interact with machines thanks to the power of conversational AI. As a global leader in this exciting field, we are dedicated to developing cutting-edge technologies that enable seamless communication between humans and digital assistants, thereby transforming industries and improving life on a global scale.

We believe in a voice-activated future, and our mission is to make this future a reality. If you are passionate about pushing the boundaries of what is possible in the field of artificial intelligence, voice recognition, and natural language understanding, then you are in the right place. Join us on our journey to shape the future of conversational AI and contribute to a world where technology truly understands and responds to human needs.

In short, you will be called to

• Design and implement innovative techniques for the development and commercialization of advanced language models.

• Develop and refine engineering standards, objectives, and metrics to ensure the highest quality in language model production.

• Collaborate with interdisciplinary teams of researchers to plan and execute experiments, including the fine tuning and distillation of large language models (LLM).

• Work closely with cross-functional teams to integrate LLMs into practical applications.

• Mentor and guide junior researchers and engineers in the field of language model development.

• Stay up-to-date with the latest advancements in natural language processing (NLP) and machine learning.

• Evaluate and adapt emerging technologies and tools to improve LLM production processes, including fine-tuning and distillation.

• Contribute to research publications and patents to share discoveries and innovations with the scientific community.

• Participate in knowledge sharing and brainstorming sessions to foster a collaborative research environment.

• Continuously assess and improve language model production techniques to meet evolving industry standards, focusing on fine-tuning and distilling LLMs.

Your profile

• Possess skills in the development of advanced language models.

• A solid experience in engineering standards, using TensorFlow and for quality assurance.

• Collaborative work within interdisciplinary teams with expertise in Hugging Face Transformers.

• Experience in integrating LLMs into practical applications, using cloud platforms like AWS Lambda and Azure Functions.

• Leadership and mentoring skills in language model development.

• Continuous learning in NLP and ML, including using tools such as Jupyter Notebooks and GitHub.

• Ability to adapt to emerging technologies (for example, Kubernetes) to improve LLM production.

• A history of contributions to research and patents.

• Active participation in knowledge sharing sessions and brainstorming. Commitment to quality-focused LLM production, including containerization with Docker.

Who are we?

Cerence is a global leader in creating cutting-edge AI-based solutions that make our driving experiences safer, more productive, and more enjoyable. We provide the technology behind the world's most popular automotive brands, enabling drivers and passengers to interact with their vehicles in new and exciting ways. Our emphasis on innovation and our commitment to quality has allowed us to forge the reputation of one of the most reliable and respected companies in the industry. With a team of talented and passionate people from around the world, we are constantly pushing the boundaries of what is possible and are proud to be at the forefront of the next generation of in-car technologies. Join us and help shape the future of mobility.

At Cerence, we value leadership and mentorship, and we are looking for someone who can contribute to our culture in these areas. If you are passionate about computing and what can be created, if you want to work in an exciting and dynamic environment and help us shape the future of AI interaction in cars, don't hesitate to apply to join our team.

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Summary/ Opportunity:

At Cerence, we are at the forefront of revolutionizing the way humans and machines interact through the power of conversational AI. As a global leader in this exciting field, we are dedicated to developing cutting-edge technology that empowers seamless communication between humans and digital assistants, transforming industries and improving lives worldwide.

We believe that the future is voice-enabled, and our mission is to make that future a reality. If you're passionate about pushing the boundaries of what's possible in the realm of artificial intelligence, voice recognition, and natural language understanding, then you've come to the right place. Join us on our journey to shape the future of conversational AI and contribute to a world where technology truly understands and responds to human needs.

This role offers opportunities to work with state-of-the-art technologies, be involved in technical decision-making, and contribute to our AI strategy.

As a Senior Researcher, you will:

• Design and implement innovative techniques for developing and commercializing advanced language models.

• Develop and refine engineering standards, goals, and metrics to ensure the highest quality in language model production.

• Collaborate with interdisciplinary teams of researchers to plan and execute experiments, including fine-tuning and knowledge distillation of Large Language Models (LLMs).

• Work closely with cross-functional teams to integrate LLMs into practical applications.

• Mentor and guide junior researchers and engineers in the field of language model development.

• Stay up-to-date with the latest advancements in natural language processing (NLP) and machine learning.

• Evaluate and adapt emerging technologies and tools to enhance LLM production processes, including fine-tuning and distillation.

• Contribute to research publications and patents to share findings and innovations with the scientific community.

• Participate in knowledge sharing and brainstorming sessions to foster a collaborative research environment.

• Continuously assess and improve language model production techniques to meet evolving industry standards, with a focus on LLM fine-tuning and distillation.

Who you are:

• Proficient in advanced language model development.

• Strong experience in engineering standards, using TensorFlow and PyTorch for quality assurance.

• Collaborative work on interdisciplinary teams with expertise in Hugging Face Transformers.

• Experience in integrating LLMs into practical applications, utilizing cloud platforms like AWS Lambda and Azure Functions.

• Leadership and mentorship skills in language model development.

• Continuous learning in NLP and ML, including tools like Jupyter Notebooks and GitHub.

• Adaptable to emerging technologies (e.g., Kubernetes) for enhancing LLM production.

• Track record of research contributions and patents.

• Active participation in knowledge sharing and brainstorming sessions.

• Commitment to quality-driven LLM production, including containerization with Docker.

Who we are:

Cerence is a global leader in creating cutting-edge AI-powered solutions that make our driving experiences safer, more productive, and more enjoyable. We provide the technology behind the world's most popular car brands, enabling drivers and passengers to interact with their vehicles in new and exciting ways. Our focus on innovation and commitment to quality has helped us build a reputation as one of the most trusted and respected companies in the industry. With a team of talented and passionate people from around the world, we're always pushing the boundaries of what's possible, and we're proud to be at the forefront of the next generation of in-car technology. Join us and help shape the future of mobility.

At Cerence, we value thought leadership and mentorship, and we're looking for someone who can contribute to our culture in these areas. If you have a passion for cutting-edge software development, want to work in an exciting, fast-paced environment, and help us shape the future of in-car AI interaction, please apply to join our team.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Born out of Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world's leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 325 million cars on the road today across more than 70 languages. 

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

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

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- 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.
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- 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 handle this data).
- Demonstrative knowledge of information security through internal training programs.