Machine Learning Engineer // ML6

April 8, 2019

Being a machine learning engineer at ML6 means you consider yourself as a healthy mix between a machine learning expert, a software engineer, a researcher and a hacker! You will mostly work with TensorFlow, Python and Google Cloud Platform to solve hard Machine Learning tasks and help put these solutions in production.

As Google Cloud Service Partner of the year ML6 has a very strong relationship with Google, providing you options to collaborate with Googlers frequently and alpha test a lot of the latest ML tools. We are fast-growing team of passionate data geeks; this means you will have a healthy mix of tasks to pick from.

Within your team you will:

  • Efficiently translate customer business needs into end-to-end technical solutions
  • Use Python to deploy production-ready pipelines and ML models on Google Cloud
  • Keep up with and apply state of the art ML research


  • Work or educational experience in software development
  • Work or educational experience with Machine Learning or Artificial Intelligence
  • Experience with Python
  • You have a master\’s degree or PhD in computer science or related field
  • Being able to work autonomous and take ownership
  • Ability to provide expert advice to non-technical staff and clients, excellent verbal and written communication in English
  • Linux

Requirements (preferred)

  • Version control (Git)
  • Contribution to open source projects


  • Flexible working hours
  • Innovation time (structural innovation meetings, personal Christmas projects, technical chapters)
  • Community activities (read: fun time!)
  • Reporting directly to CTO
  • Collaboration in small interdisciplinary teams of experts
  • Practical experience with the state of the art in software development and machine learning
  • Mentoring
  • International opportunities
  • Training opportunities

Start date: September 2019

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