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ML Researcher Intern - Prague - Czechia

Cisco - Prague, Czech Republic

Posted Jun 6, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

ML Researcher Intern - Prague - Czechia Prague, Czech Republic Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Application Deadline: March 31 2026 Location: PRG5 office Hybrid 20 hours per week Who You'll Work With We are a bunch of former security startups collectively called Threat Detection and Response. We keep an agile, fun , and passionate upstart culture within Cisco. You will work in an international environment in downtown Prague, Czech Republic, closely cooperating with teams in the US. We balance collaboration and integration with autonomy and innovation to deliver the most effective solution to our customers' problems. The unique mix of our disruptive approach to security and Cisco's industry dominance surpasses what any other security startup could ever achieve on its own. Your Impact We are seeking a motivated Machine Learning Researcher or Machine Learning Engineer Intern to join our team. The ideal candidate will have a solid foundation in machine learning concepts and a passion for applying their skills to real-world problems. This internship offers a unique opportunity to gain hands-on experience, contribute to exciting projects, and work alongside experienced researchers and engineers. Possible Projects you could work on: Identifying Threats in E-mail Cybersecurity Data - E-mail has been one of the primary attack vectors for years, both within personal and business field. Identifying phishing

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