Senior Machine Learning Engineer Digital Health

  • xbird GmbH
  • Berlin, Germany
  • 07/02/2020
Full time Data Science Machine Learning Big Data Statistics

Job Description

We are looking for a Senior Machine Learning Engineer that will help us build the intelligence behind our systems. You will apply the latest machine learning algorithms to improve the lives of people and to help doctors in their diagnosis. In this role, you will have high responsibility and a strong impact on the company's success.

You will be part of our engineering team consisting of machine learning engineers, backend, Android and iOS developers.

You will play a leading role in every part of our machine learning lifecycle: from the initial research to the production-level implementation, from discussing long-term goals, to making post-release micro-improvements. Being an expert in machine learning technologies, you also guide and coach other machine learning engineers at xbird.

You are able to navigate yourself quickly through the sea of machine learning literature, keeping our concrete goals as a compass. You will decide the best model for every problem, and will be keen to implement that in practice (Python). You are able to explain your choices at any level of detail, from discussing the activation function of your neural network convolutional layer to the most accessible explanation of your goals and results.

You take ownership of core projects of our company and we can rely on you to drive them forward proactively.

We look forward to welcoming you as part of the xbird team!

  • You are deeply familiar with state-of-the-art machine learning algorithms and models. You know how to navigate and consume research literature. Your experience in designing and applying machine learning algorithms is at a Ph.D.-level, or an equivalent professional experience.
  • You can build a model of reality, validate it, and quantify your errors. You know how to fine-tune your hyperparameters, optimize the results, and eventually optimize the performance.
  • You are comfortable with statistical modelling: applying concepts from statistical inference, hypothesis testing, descriptive statistics to analyze real data.
  • You have 3+ years of practical experience in taking machine learning projects from idea to experiment, to prototype, to implementation, with little supervision.
  • You have 3+ years of experience developing in Python. You are very familiar with Python libraries and tools for data analysis and machine learning.
  • You have experience in deploying solutions to cloud and virtualization environments.
  • You have strong communication skills and are good at sharing your knowledge. experience in coaching and guiding other machine learning engineers.
  • Experience with human activity recognition is a big plus.
  • Experience working with mobile sensor datas is a plus.
  • Familiarity with graphical models or Bayesian networks would be appreciated.
  • Experience with human activity recognition or with digital health problems is a big plus.
  • You enjoy what you do and want to work with people who share your passion