Senior Research Engineer (LLM, GenAI, Computational Linguistic)

A Moving Experience.

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!

Who is Cerence?

Cerence 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 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 Driving Force

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.

Interested in having a significant impact in a dynamic industry with a high-performing global team?

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 (experience or knowledge) in developing and implementing ASR models specifically for automotive voice assistants. 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, including other AI researchers and engineers, 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:

• You have demonstrated expertise in creating Natural Language Processing (NLP) solutions using Deep Learning techniques, with a focus on integrating Large Language Models.
• You have an advanced degree in computer science, computational linguistics, or a related field.
• You are highly proficient in Python and Deep Learning frameworks such as Tensorflow or PyTorch.
• You have experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments.
• You possess 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.

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from 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 500 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.

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 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.