Signify

Machine Learning Engineer II

Signify

full-time

Posted on:

Location Type: Hybrid

Location: Budapest • 🇭🇺 Hungary

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Job Level

Mid-LevelSenior

Tech Stack

LinuxPySparkPythonSQL

About the role

  • Build production machine learning models that identify fraud
  • Research emerging fraud patterns in real-time with the Risk Intelligence team
  • Improve components of the Signifyd Commerce Protection Platform
  • Write production and offline code in Python and PySpark
  • Work with distributed data pipelines
  • Collaborate with engineering teams to strengthen the machine-learning pipeline
  • Communicate complex ideas to various audiences, including executives
  • End-to-end ownership of decision-making engine from R&D to online performance and risk management

Requirements

  • A degree in computer science or a comparable analytical field
  • 3+ years of post-undergrad work experience
  • Strong verbal and written communication skills
  • Strong machine learning and statistical background, and a track record of being able to deliver under pressure
  • Write code and review others' in a shared codebase in Python
  • Practical SQL knowledge
  • Design experiments and collect data
  • Familiarity with the Linux command line
Benefits
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonPySparkSQLdata pipelinesstatistical analysisexperiment designdata collectioncode reviewLinux
Soft skills
communicationcollaborationdecision-makingproblem-solvingadaptabilitytime managementanalytical thinkingcreativityleadershipinterpersonal skills
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