At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state of the art deep learning technology, enabling millions of people with hearing loss to enjoy social interactions in noisy environments like bars or restaurants. Based in the heart of Berlin, we are a young, driven, and dynamic team with the vision to change people’s lives.
Working Student Computer Science
Would you like to get a glimpse behind the scenes of a cutting-edge AI startup? Come and join us as a working student! We are looking for an energetic computer science major who can work for 15-20 hours a week for at least 6 months. At Audatic, you will closely collaborate with our team of Deep Learning Engineers, Software Engineers, and Data Scientists, supporting them in daily tasks.
You responsibilities will include:
Assistance with the maintenance of our GPU cluster on hardware and software level
Participation in the continuous improvement of our codebase
Support with the extension of training datasets
Enrolment in a degree program in Computer Science or a related technical field*
Good Python skills
Knowledge of the Linux command line
Fluency in English and excellent communication skills
Please note that in order to be eligible for the student position you need to be enrolled at a university for the entire duration of employment.
Good to have:
Knowledge of computer hardware
Familiarity with Docker
What we offer:
Open, friendly, and collaborative company culture
Green, modern office in the heart of Berlin
Free meals, drinks, and snacks
Company-sponsored team events and retreats
How to apply:
Interested? Please send your CV and a short cover letter to email@example.com. We look forward to your application!
We are an equal opportunity employer and value diversity. Committed to inclusive growth, we consider all applications equally, regardless of race, ethnicity, religion, citizenship, national origin, sex, gender identity, sexual orientation, age, marital status, or disability. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.