Intern Machine Learning Engineer for NLP

Merelbeke, belgium
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**Company: Cerence Inc. Job Description Summary: Cerence Inc. is a global industry leader in creating unique, moving experiences for the automotive world, working with leading automakers. The company is looking for someone to join their team and help build the future of voice and AI in cars. Cerence is committed to Equal Employment Opportunity and complying with all laws prohibiting discrimination. Employees are expected to follow security policies in the workplace to maintain a safe environment. The company is seeking a Senior candidate with 5+ years of experience in Language Modeling, Machine Learning, and Natural Language Processing. Job Description: A Moving Experience. You are a member of the Text To Speech (TTS) Natural Language Processing (NLP) team and as an intern, you have the following duties: 1 Collect, Annotate, Analyze and Balance some French Natural Language data 2 Fine-tune some multi-task pre-trained BERT or LLM models with that data 3 Experiment with Keras/Tensorflow versus Pytorch fine-tuning methods 4 Evaluate resulting models against existing Cerence methods Required skills: French native speaker Speaking and writing English fluently Strong python coding skills Good knowledge of Keras/Tensorflow and/or Pytorch libraries Familiar with Machine Learning and Large Language Models Combining strong analytical and creative skills with problem-solving attitude Will and ability to function in a team spread across the globe 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 325 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 Company: Cerence Inc. Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Classification, Industry, Language Modeling, Natural Language Processing, NLP Company: Cerence Inc. Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP

Company:Cerence Inc.

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):Senior (5+ years of experience)

 Train your own AI: Fine tune a large language model for sentence similarity

Train your own AI: Fine tune a large language model for sentence similarity

“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.

Hire an NLP developer
Ai and nlpBusiness applications

Hire an NLP developer

Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.

What is NLP?

What is NLP?

Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.