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Senior Research Scientist AI

Cerence

Ulm

Vor Ort

EUR 60.000 - 100.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

An innovative firm seeks a Machine Learning expert to enhance Speech Generation Technology. Join a dynamic international team dedicated to pushing the boundaries of AI and voice technology. Your role will involve designing research initiatives, optimizing AI models, and collaborating across teams to integrate cutting-edge TTS solutions. This is a unique opportunity to contribute to meaningful advancements in automotive voice interaction, shaping the future of AI in vehicles. If you're passionate about AI and eager to make an impact, this role is perfect for you.

Qualifikationen

  • Strong background in Machine Learning and Deep Learning.
  • Proficiency in Python and experience with AI models.

Aufgaben

  • Design and develop research initiatives in Text-to-Speech synthesis.
  • Collaborate with cross-functional teams to integrate TTS solutions.

Kenntnisse

Machine Learning
Deep Learning
Python
Problem Solving
Analytical Skills
Communication Skills

Ausbildung

Degree in Computer Science or related field

Tools

C/C++
NLP
Signal Processing

Jobbeschreibung

A Moving Experience

Opportunity

Are you interested in joining an international team of AI experts to contribute as an expert in Machine Learning to our Speech Generation Technology and Products? Then this is an excellent opportunity for you!
We are looking for a passionate and creative candidate with a strong background in Machine Learning/Deep Learning who wants to contribute to our success.

Principal duties and responsibilities

  1. Design and develop research initiatives in Text-to-Speech synthesis, driving innovation that bolsters naturalness, expressiveness, and efficiency of our AI models.
  2. Contribute to model training, evaluation, and optimization.
  3. Build prototypes and turn research code into stable pre-production software.
  4. Stay at the forefront of AI, monitoring and analyzing contemporary research.
  5. Participate in team discussions, contributing novel ideas to advance our SOTA.
  6. Collaborate closely with cross-functional teams to help integrate advanced TTS solutions into our products and services.

Knowledge, skills and qualifications

  • Proficiency in AI with the ability to design and execute experiments to advance research objectives.
  • Strong problem-solving, analytical, and critical thinking skills, with adaptability to new challenges and technologies.
  • Eagerness to learn about the latest developments in AI and Speech and Language Technology.
  • Deep understanding of AI models and architectures, such as LLMs, Diffusion models, GANs, etc.
  • Solid programming skills in Python (C/C++ or other languages are a plus).
  • Ability to work in an international cross-site team, being a team player and mentor to interns and junior researchers.
  • Excellent oral and written communication skills in English.

Preferred skills

  • Knowledge of Text-to-Speech (TTS).
  • Knowledge of speech processing algorithms, signal processing, and NLP.
  • Operational knowledge of languages other than English.

Cerence Inc. (Nasdaq: CRNC, www.cerence.com) is a global leader in creating innovative experiences for the automotive industry. Spun out from Nuance in October 2019, Cerence has rapidly become a leader in automotive voice assistants, working with major automakers worldwide to transform vehicle interaction. With over 20 years of industry experience and over 500 million cars equipped with our technology across more than 70 languages, we are shaping the future of voice and AI in cars.

As Cerence looks to the future and continues its growth, we are seeking someone to join our team and help build the future of voice and AI in automotive. Join our passionate, dedicated, global team and be part of meaningful innovation in a rapidly growing 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, stereotyping, pregnancy, national origin, religion, disability, medical condition, marital status, citizenship, sexual orientation, veteran status, genetic information, and other protected classes.

All employees are expected to adhere to workplace security policies, including:

  • Following security protocols and training.
  • Reporting suspicious activity.
  • Respecting security procedures to maintain effectiveness.
  • Complying with company regulations.
  • Supporting a zero-tolerance policy for workplace violence.

- Basic knowledge of information security and data privacy, including how to protect and handle data.

- Demonstrative knowledge of information security through internal training programs.

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