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The Opportunity as Machine Learning Scientist

As a Machine Learning Scientist you design and build the reporting aspects of our log management and network data security products working in close collaboration with product management. The role requires strong machine learning and data analysis knowledge. We are developing a high performance solution for securing and optimizing computer networks. To this end, we analyze user and threat data using real time stream processing and big data solutions. The result of this analysis enables the protection even against novel, previously unknown threats.
 Your part in the team is the optimization and continuous development of both our components and the data analysis algorithms used.

Responsibilities as Machine Learning Scientist

  • You will have role that is not fixed to a single responsibility: starting from real networking use cases, you take part in the full product development life-cycle from investigation to the development of novel and scalable prototypes
  • You support all phases until the release of the product, interfacing with a wide range of experts in the field. In our fast-paced, dynamic environment a unique blend of innovation and speed of execution is required
  • Designing, improving and maintaining our stream processing engine to get the very best out of the underlying hardware
  • Our technology stack includes Python, Java, R, C as well as a wide range of internal tools built on top of Docker, Flume, Elasticsearch, Redis, InfluxDB and a variety of front-end visualization technologies (D3.js, Loopback.js, HTML5).
Qualifications as Machine Learning Scientist

  • 3+ years of developing or research experience on machine learning and data analysis.
  • Master in mathematics, statistics, computer science, robotics or machine learning or similar education or strong work experience
  • PhD in mathematics, statistics, computer science, robotics or machine learning is a strong plus.
  • Strong background in classical machine learning (SVM, Regression, Neural Network, K-means etc.) is a must.
  • R, Python or Matlab including the respective machine learning frameworks
  • Background in graphical models and optimization is a plus.
  • Ability to manipulate large-scale structured datasets.
  • Knowledge of deep learning is a strong plus.
  • Experience with deep learning libraries (TensorFlow, Caffe, Theano, etc.) is a plus.
What We Offer

  • Exciting intellectual challenges and work with cutting-edge technologies in the field of machine learning
  • Start-up environment where your energy and talents can make a difference
  • Very competitive remuneration package and relocation support.
  • Comprehensive job training and education program, such as support attending top conferences in machine learning (NIPS, ICML, etc)
  • Friendly working conditions and company activities
  • All the beverages you can drink, of course, including coffee, tea, Club Mate and many more
  • Very competitive remuneration package and relocation support.
Interested in joining Packetwerk?

  • Send your CV and covering email to jobs@packetwerk.com
  • Cite the role to which you are applying in the subject line
  • Call for more information: +49-(0) 341-2290-7850.
Machine Learning, Data-Analysis, K-means, Neuronal Network, Database, Python, matlab, R, TensorFlow, Caffe, ITmitte.de, Empfehlungsbund