Research Engineer

Cerence; Ulm; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Cerence, a leader in automotive voice technology, seeks a skilled professional to contribute to AI and natural language processing innovations. The role involves integrating LLM capabilities, conducting research, and collaborating with various teams to enhance product offerings. Ideal candidates will have a Master's degree and proficiency in programming languages, with a passion for innovation in a dynamic environment.

Qualifikationen

• Master’s degree in a relevant field is required.
• Proficiency in programming languages such as C, C++, Python.
• Experience with DevOps tools and cloud platforms is essential.

Aufgaben

• Conduct research and integrate LLM capabilities into AI solutions.
• Test and validate ASR+NLU models for deployment.
• Collaborate with cross-functional teams to implement AI solutions.

Kenntnisse

C

C++

Python

DevOps

Analytical Skills

Problem Solving

Communication

Ausbildung

Master’s degree in Computer Science, Data Science, or Artificial Intelligence

Tools

CI/CD

Jenkins

Docker

Kubernetes

Git

Google Cloud

AWS

Microsoft Azure

Jobbeschreibung

A Moving Experience

Your Impact

1. Research and Development: Stay up-to-date with the latest trends, tools, and technologies in AI and natural language processing (NLP). Conduct research to recommend innovative solutions regarding tools and processes that can be implemented within the organization.
2. Integrate LLM Capabilities: Design and implement software components or tools to incorporate LLM capabilities into Cerence's AI speech recognition releases.
3. Validation and Implementation: Conduct testing and validation of ASR+NLU traditional models and LLM-based features to support deployment across various environments, ensuring high performance, reliability, scalability, and robustness in real-world scenarios.
4. Collaboration and Cross-Functional Engagement: Work 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.
5. Mentoring and Training: Share knowledge and expertise through training sessions and workshops, fostering a culture of learning and innovation.

What you bring

1. Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
2. Proficiency in programming languages such as C, C++, Python.
3. Experience with DevOps tools including CI/CD, Jenkins, Docker, Kubernetes, and Git.
4. Familiarity with cloud platforms like Google Cloud, AWS, or Microsoft Azure.
5. Strong understanding of Generative AI and Large Language Models, including fine-tuning LLMs, implementing LLM-based agents, RAG pipelines, function and tool calling, and deploying models for real-world applications. (Preferred)
6. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
7. Excellent written and verbal communication skills to convey complex technical concepts to non-technical stakeholders.

Cerence Inc. (Nasdaq: CRNC, www.cerence.com) is a global leader in creating unique, moving experiences for the automotive industry. Spun out from Nuance in October 2019, Cerence has quickly established itself as a leader in automotive voice assistants, collaborating with major automakers including Ford, Fiat Chrysler, Daimler, Audi, BMW, Geely, and SAIC. With over 20 years of industry experience and leadership, and more than 500 million cars equipped with its technology across 70+ languages, Cerence is shaping the future of voice and AI in automotive.

As Cerence looks to the future and continues its growth, we seek someone to join our team and help build the future of voice and AI in cars. This is an exciting opportunity to be part of a passionate, dedicated, global team and contribute to meaningful innovation in a rapidly evolving industry.

Equal Opportunity Employer

Cerence is committed to Equal Employment Opportunity (EEO) and complies with all laws prohibiting employment discrimination based on age, race, color, gender, gender identity/expression, sex, pregnancy, national origin, religion, disability, marital status, citizenship, sexual orientation, veteran status, genetic information, and other protected categories. See Cerence's EEO Policy Statement.

All employees are expected to follow security policies, which include:

• Adhering to workplace security protocols and training.
• Reporting suspicious activity.
• Respecting security procedures to ensure effectiveness.
• Complying with company regulations and policies.
• Supporting a zero-tolerance policy towards workplace violence.

Basic knowledge of information security and data privacy, including data protection practices, is required. Demonstrated knowledge can be acquired through internal training programs.