Do you want to build productive call centres using state-of-art AI technologies? At Cyrix we are determined to build the next generation of conversational guidance and analytics platform the insurance industry. Do you want to join us on this journey?

We are seeking a Computer Science professional interested in working with Voice analysis and sentiment analysis for a 3-month Internship. The ideal candidate has a substantial python and Google platform experience and can apply his/her academic knowledge to build a functional prototype.

As an intern, you will get to develop audio, speech and language processing neural network models. You will work with extensive, authentic conversational datasets and a machine learning infrastructure. This enables you running of large volumes of computationally intensive experiments.

The internship is an exciting opportunity for a driven candidate who is looking to build a path towards a machine learning industry career.

Responsibilities:

• Execute a machine learning research project in the area of audio, speech and language processing and bring to completion in a 4-month time frame

• Record high-quality machine learning code and research reports

• Produce and submit a 5-page academic conference on your internship research project

Requirements:

• Fluent in Danish verbally as well as written.

• Bachelors or higher degree in Computer Science mixed with a background in linguistics, psychology or Computer Engineering or related technical discipline.

• Minimum 2 years of experience with signal and speech recognition technologies in the area of machine learning for audio, speech and language processing.

• Detail-oriented and able to meet commitments in a rapidly expanding environment.

• Willingness to learn new technologies and skills on the fly.

• Strong drive to bring the project to completion despite obstacles

Skills:

• Strong coding skills with scripting languages like Python, C++, and API design.

• Fluency with modern machine learning frameworks (e.g., TensorFlow, PyTorch)

• Excellent data analysis and visualization skills

• Strong verbal and written communications skills