Machine Learning Engineer at Statice


Statice is a Berlin-based software company focussed on building technologies for large-scale data anonymization. Organizations need data to research, monitor, and innovate, but we don’t believe that should come at any price. We bridge the need for data and the implementation of data privacy by providing a state of the art data-anonymization software, which works by learning the patterns inherent in private data sets and recreating new, synthetic data sets with similar structure and statistical content, but no private data. We do this because we believe in the data-driven future, and we believe it is critical to leverage technology as a means for good. Statice is the safeguard of the individual’s privacy and technological enabler for companies to unlock the true potential of their data.

Machine Learning Engineer at Statice

To support our Machine Learning research and development efforts, we are looking for an additional Machine Learning Engineer.

You will:

  • Oversee decisions regarding the ML components in the product
  • Work and collaborate within a team of experienced people with diverse backgrounds
  • Research and implement synthesization algorithms
  • Keep up with the latest research on machine learning with a focus on privacy, deep learning, and generative models.
  • Continuously share your experience with your colleagues
Your profile:
  • Extensive experience in statistical analysis and machine learning.
  • Advanced knowledge in deep learning: from theory to popular frameworks.
  • Extensive experience with Python and its open-source data science ecosystem (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.).
  • Experience with generative models

Nice to have:

  • Experience with production machine learning
  • Experience with Bayesian statistics and probabilistic programming
  • Knowledge about data privacy techniques

Our team:

We are a growing team with big dreams. We have come together from (nearly) all corners of the world, and combine a variety of skills and experience. This is why we value everybody’s opinion and strive for collaborative decisions. We value honesty towards each other more than anything and always provide open and direct feedback. Learn more about what we do:

Compensation and perks:

  • Competitive salary and company stock options
  • Learning budget
  • Flexible working hours and home office policy
  • Participation in conferences and events: both as a speaker and as an attendee
  • Support with relocation and visa, if needed

Apply here