Research Engineer

A Moving Experience.

Your Impact

• Research and Development: Stay up to date with the latest trends, tools, and technologies in AI and natural language processing (NLP) technologies and its releases. Conduct research to recommend innovative solutions w.r.t tools, process that can be implemented within the organization.
• Integrate LLM Capabilities: Design and implement software components / tools to integrate LLM capabilities into Cerence's AI speech recognition releases.
• Validation and Implementation: Conduct testing and validation of ASR+NLU traditional models and LLM-based features to support the deployment of models into various environments and ensure high performance, reliability, scalability, and robustness in real-world scenarios.
• Collaboration and Cross-Functional Engagement:  Collaborate closely with software engineers, product managers, data scientists and other stakeholders to ensure seamless integration of AI solutions into existing product releases and customer projects.
• Mentoring and Training: Share knowledge and expertise with other team members through training sessions and workshops, promoting a culture of learning and innovation.

What you bring

• Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
• Proficiency in the following programming languages : C, C++, Python.
• Proficiency in dev-Ops with CI/CD, Jenkins, Docker, K8s Kubernetes, Git
• Familiarity with cloud platforms such as Google Cloud, AWS, or Microsoft Azure.
• Strong understanding about Generative AI and Large Language Models which includes Fine tuning of LLMs, Implementation of LLM based Agents, RAG Pipelines, Function and Tool calling, and deploying models for real-world applications. (Preferred)
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication skills (both written and verbal) to convey complex technical concepts to non-technical stakeholders.

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.