Machine Learning Engineer

Work somewhere with the creativity of a scaleup and expertise of an enterprise. 

We’re looking for an extraordinary Machine Learning Engineer to join our Swiss team. 

You’d need a strong computational background (especially in the Machine Learning field), and at least two years of industry experience, as well as world-class team management skills. 

If you’re successful, you would: 

  • Contribute to machine learning research 
  • Formulate and run experiments and improve algorithms based on results 
  • Contribute to the company's culture through code reviews 
  • Carry out mentoring, research and design discussions 
  • Review documents, designs and code done by others and provide constructive feedback 
  • Continuously develop your own machine learning and engineering skills, and help others improve theirs 
  • Work with ML engineers (also remotely) to migrate research prototypes to production 

What You Have

  • Computer Science Bachelor Degree/Statistics/Maths or equivalent 
  • Python programming proficiency 
  • Experience with Python ML/DL libraries and frameworks (es. scikit-learn, TensorFlow, Keras, Pytorch) 
  • Deep learning architectures experience 
  • Strong knowledge of designing end-to-end ML flows 

Who You Are

  • Able to understand and communicate technical concepts clearly and effectively 
  • A collaborative worker, who can enhance performance with a proactive, problem-solving attitude 
  • Able to work on multiple projects, under deadline pressure 
  • Excellent communicator 
  • Fluent English speaker 

Working at iGenius
With a growing team in four offices—Milan, California (San Jose), London and Switzerland —iGenius is a scaleup that thinks like an enterprise, where talented innovators can thrive and people come first. That’s not all. 

  • Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials 
  • Smart Working. Trains can be a drag, so we let our team members work at home when they can 
  • Salary is based on experience, and topped up with other bonuses

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