Machine Learning Engineer – Cybersecurity / AI / Blockchain

Our client specialises in cybersecurity, blockchain technology, and machine learning solutions for enterprise clients. Their goal is to collaborate human and machine interaction. They create a way to share intelligence/knowledge but without sharing data, which makes it a secure way. Currently, they are looking for a dedicated, experienced Machine Learning Engineer, to join the international team in Berlin.

Responsibilities: 

  • Design, code and deploy highly scalable reinforcement learning systems
  • Adapt standard machine learning methods to best exploit modern parallel environments
  • Visualise key statistical concepts of underlying models and their performance
  • Code deliverables in tandem with the rest of the tech team
  • Evaluate different statistical models taking into consideration trade-off between model improvement vs scalability
  • Learn and teach about state-of-the-art computational statistics techniques
  • Help drive optimisation, testing, and tooling to improve quality

Requirements:

  • Background: informatics, mathematics, physics, data science, or similar
  • Experience with Python
  • Deep understanding of reinforcement learning, machine learning, and neural networks
  • Fluent in English, German is a plus
  • Interested in state-of-the-art research on reinforcement learning
  • Experience with TensorFlow or PyTorch
  • Know the difference between software developed as a tool for your research, and software developed for use in production by customers

On Offer:

  • Join a dynamic, international team of talented individuals
  • Fast paced, multi-faceted working environment
  • Competitive salary
  • A perks and benefits program for all team members
  • Room for personal and professional growth
  • Flat hierarchies
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