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Machine Learning Engineer

Tensor Technologies

Zug (CH) | Posted: 7 months ago

This job is expired and may no longer be accepting applications.

Machine Learning Engineer

Job description

Do you want to play an instrumental role in building a next generation algorithmic trading strategy? Develop impactful applications of machine learning and solve complex problems through simple solutions? Does your curiosity and desire to learn drive you? Then you might be our new Machine Learning Engineer!

Your main responsibilities will be

  • Produce solutions which compete in an extremely latency sensitive environment.
  • Research and prototype state-of-the-art machine learning models.
  • Design terabyte-scale data pipelines.
  • Transform machine learning models into trading strategies.


  • Although we prefer a PhD degree in Computer Science, Mathematics, Physics or a related field, you might convince us with a Bachelor’s or Master’s degree and your experience.
  • 2+ years of experience developing solutions using Spark and Scala.
  • Experience in some of the following areas: Google Cloud Platform, AWS, Databricks, TensorFlow, Horovod, Keras, Docker, Kubernetes.
  • A solid grasp of computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns.
  • Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure.
  • Bonus points: Experience in time series analysis.

No finance background is necessary or expected. This is a great opportunity for the right candidate to kick start a career in the financial technology space.

You are a good fit for our team, if you…

  • thrive in a fast-paced environment, and managing multiple tasks and continuous innovation comes easy to you.
  • analyze and solve technical and analytical problems at their root, stepping back to understand the broader context.
  • enjoy thinking out of the box, generate ideas and discuss them with your peers.
  • care about agile software processes, data-driven development, reliability, and disciplined experimentation.
  • are a driven, self-starting person that demonstrates content leadership and initiative early on.
  • communicate clearly and collaborate effectively.

Once you pass our initial resume screening, you will be contacted by our official Swiss recruiting partner Rockstar Recruiting in order to arrange a phone screen.

Agency calls are not appreciated.

This job was sourced from GitHub Jobs.