Senior Research Scientist

Do you have a passion for pushing the boundaries of innovation? Are you excited about Generative AI’s potential to improve the human experience? Then come join the ride!

Cerence AI 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 AI's 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’re looking for an exceptional Senior AI Scientist in Generative AI who is ready to drive the future of mobility with us!

Your Impact

• Implement and develop state-of-the-art generative AI models including autoregressive, State Space Models and Diffusion modelling techniques.
• Leverage your expertise to effectively train, fine-tune, and optimize models that impact Multimodal LLMs, shaping them for optimal accuracy and performance.
• Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customised realtime solutions that combine the prowess of LLMs with other modalities.
• Innovate, modify and transform existing generative models for 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, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.

What You Bring

• Extensive experience in developing Generative AI models. Hands on experience in developing at least one of the following: encoder-decoder models, decoder-only models, SSMs and diffusion models.
• 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 LLM-based systems (open-source models), successfully working with diverse elements involving conversation systems, vector databases and production systems.
• Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment.

What we offer

We offer a generous compensation and benefits package (in addition to the base salary), including:

• Salary range of ---  It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.
• Annual bonus opportunity
• Insurance coverage (medical, dental, vision, life, and disability)
• Paid time off
• Paid holidays
• Company contribution to the RRSP (Registered Retirement Savings Plan)
• Equity awards for certain positions and levels
• Remote and/or hybrid work available depending on the position

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

Be product minded and highly accountable to deadlines and devliervables.

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. 

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.