Senior Machine Learning Engineer (NLP)
Senior Machine Learning Engineer (NLP)
Cerence
Automobil- und Fahrzeugbau
- Aachen
- Vollzeit
- 52.000 € – 78.500 € (von XING geschätzt)
Vor Ort
Senior Machine Learning Engineer (NLP)
Über diesen Job
Job Description
A Moving Experience.
Key Responsibilities:
- Design, implement, and optimize polyglot and language-specific machine learning models for a broad range of languages with a strong focus on seq2seq models and classifiers.
- Develop and enhance solutions that employ such models to solve challenging text normalization and classification problems in the context of text-to-speech.
- Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.
- Conduct research and stay up-to-date with the latest advancements in the field of NLP and machine learning.
- Mentor and guide junior engineers and linguistic experts, providing technical leadership and fostering a culture of continuous learning.
Qualifications:
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 4+ years of hands-on experience in machine learning, with a focus on NLP.
- Proven experience with seq2seq models, transformers, and other advanced NLP architectures.
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or similar.
- Experience with multilingual NLP applications and understanding of the challenges associated with them.
- Solid understanding of machine learning principles, algorithms, and statistical methods.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications:
- Familiarity with MLOps practices and tools.
- Experience with text to speech.
- Proficiency in another language than English.
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 (eg, how to protect data & how to be handling this data).
- Demonstrate knowledge of information security through internal training programs.
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