trinamiX GmbH

Junior Data Engineer Recordings (m/f/d)

Job description

Responsibilities


trinamiX uses deep convolutional neural networks to distinguish human faces from masks and other spoof attacks. As part of the Data Science Team, you will create the datasets we need to keep our system secure and reliable.


  • You will deliver well-structured and error free datasets for training convolutional neural networks as part of a 3D imaging system.
  • Futhermore you will plan and set up our data recording lab and simulate various real-life conditions.
  • You will conduct data collection campaigns using industrial robots and support the data parsing and labeling process.
  • The visualization, transformation and manipulation of data using various Python and internal libraries is also part of your daily tasks.
  • Last but not least, you will contribute to the development and automation of the recording process and documentation of the recording software.

QUALIFICATIONS


  • B.Sc. degree in Computer Science or in a related field
  • experience with Python and the PyData stack (NumPy, pandas, scikit-learn, Matplotlib, OpenCV)
  • basic experience with the Linux command line and bash scripting
  • strong organizational, interpersonal and English communication skills
  • interested in machine learning and computer vision applications
  • fluent in English and German (minimum B1)

BENEFITS


  • The agility of a startup combined with the stable cash flow, infrastructure and benefits of a multinational corporation.
  • An attractive salary based on business success and your individual performance while working on an exciting, revolutionary technology.
  • Mobile working and work-life balance, so you can organize your working day and your private life more flexibly to better combine them.
  • A culture of learning, individual career paths, feedback discussions and the opportunity to develop your career
  • You will be part of a highly professional, diverse and supportive team with a positive work culture that is at the forefront of technology innovation.

ABOUT US


We are stepping up to change the world!


trinamiX is a high-tech company developing innovative solutions in the fields of biometric authentication and mobile NIR spectroscopy. Through them, we are completely redefining the boundaries of what is possible for industrial customers and consumers alike - whether it is the security of personal data, the ability to conserve natural resources, or the shaping of one's own health.


To do this, we harness the hidden world of data around us and work closely with strong partners from a variety of international markets, including the smartphone and automotive industries.


Headquartered in Ludwigshafen am Rhein, trinamiX GmbH was founded in 2015 as a wholly owned subsidiary of BASF SE. While we live the spirit of a high-tech startup, we are supported by one of the world's leading chemical companies. As a result, more than 200 employees worldwide work operationally independently while being able to rely on the security, expertise and experience of the BASF Group.


We are looking for highly motivated, enthusiastic people to join our team and change the world together with us!


Do you have any questions about the application process or the position? Please reach out to: Alma Fakic, alma.fakic@basf.com, Tel.:+49 30 2005-59555


How to apply: create your own profile via ''Apply Now'' and upload only your CV as well as references. This allows us to get a first impression and view your


application individually. Further information about our application process can be found here:


http://on.basf.com/applicationprocess.


At BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.


Please note that we do not return paper applications including folders. Please submit copies only and no original documents.


Please upload the documents, summarized in a PDF if possible.

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