Working at Cylus

All Positions

ML Researcher-Network Oriented




Cylus, the global leader in rail cybersecurity, helps mainline and urban railway companies prevent security incidents and service disruptions caused by cyber-attacks.
With over $30M in funding by top VCs and strategic investors, global customers and strong partnerships with the biggest railway integrators, we make a significant impact on the multi-billion global railway industry.

 We are looking for an exceptional ML Researcher- Network Oriented  to join our Research team and help us get to the next level. If you have the right attitude and skills, we invite you to hop on board this bullet train.

In this role you will:

  1. Be the driving force in conducting deep, pioneer security research of rail networks to fuel the company’s core product 
  2. Create models for extracting security and visibility insights from network communication in the railway domain.
  3. Be a crucial part of a vibrant R&D team of experienced engineers and security experts
  4. Work closely with product and business functions


  1. 3+ years of proven experience as a researcher in the domain of ML.
  2. Experience in programming
  3. Experience in using data analysis tools such as Jupyter-Lab, ELK stack, AWS data lake etc.
  4. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  5. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  6. Knowledge and understanding of network architectures in layers 2-7
  7. Proficient in using Wireshark and/or other packet capturing tools
  8. Independent, fast-paced learner

Big plus:

  1. B.Sc in Computer Science or equivalent military background
  2. Experience in analyzing network communication
  3. Good understanding of cyber and network security
  4. Knowledge in cryptography

Position #


Apply Now

Share this Position

Apply for position

Max file size 10MB.
Upload failed. Max size for files is 10 MB.
Thank you!
Your application has been received.
Oops! Something went wrong...
Please Try Again, or send your details directly to careers@cylus.com