Job Description

A Moving Experience.
About the Internship -
This internship provides an exciting opportunity to work with cutting-edge technologies in the field of Artificial Intelligence and Speech processing. As an intern, you will collaborate with a team of experts on innovative projects aimed at enhancing multilingual ASR systems, supporting global ASR language expansion, developing generative-AI tools for automotive use-case, and supporting the data pipelines for build and delivery. This is a hands-on role where you'll gain exposure to the latest advancements in AI, specifically in speech recognition technologies in automotive industry.
Key Responsibilities -
1. Assist in the research and development of multilingual ASR models, LLM Cloud and Edge models. Optimize existing processes for latency reduction, cost efficiency, and accuracy improvement.
2. Contribute to developing features, training & evaluation data pipelines and build & delivery tools to support global language expansion of LLM based conversational AI systems.
3. Explore and experiment with generative AI techniques in automotive use cases, including synthetic data generation, data curation, RAG, agent protocols, orchestration and context management etc.
4. Optimize and fine-tune existing models for performance improvements across diverse languages.
5. Document processes, findings, and results for internal and external reporting.
Qualifications -
Education: Currently pursuing or completed a B.Tech/M.Tech in Computer Science, Electronics, AI, or a related field.
Technical Skills (Must have) -
1. Basic Understanding of ASR Systems: Familiarity with how speech recognition models function and their underlying principles.
2. AI/ML/DL Knowledge: Strong foundation in Artificial Intelligence, Machine Learning, Deep Learning and GenAI concepts. Familiarity with Attention Mechanism and Transformer based models.
3. Programming: Proficiency in Python / Java / C++ development with hands-on experience using PyTorch for model development. Optimise existing codes for latency reduction.
4. Ability to read, implement and present research papers relevant to industrial problems as hand.
Additional Skills (Good to have) -
Understanding of generative AI concepts, advanced speech recognition skills.
Who Should Apply?
This internship is ideal for candidates passionate about language technologies, Speech Recognition, and AI-driven solutions. If you are eager to work on real-world challenges and contribute to innovation and research in multilingual ASR, generative AI, cloud and edge GenAI models, building research tools and pipelines for data management, then this role is for you.
This Requisition is specifically created for the intern position: SI-SIBD

• Develop automation for build & delivery pipeline
• Support NLU-ASR integration validation, xUI Gen2 validation

Cerence Inc. (Nasdaq: CRNC and ) 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.

Skills Required