Abuse Research Engineer

Stripe · 📍 Remote from the US · Diposting 2026-10-07
FULL_TIME⭐ TERVERIFIKASI
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Stripe is seeking a talented Abuse Research Engineer to join our team. This role is crucial in identifying and mitigating fraudulent activities and abuse on our platform. You will work closely with our security and fraud teams to develop and implement cutting-edge solutions to protect our users and business.

As an Abuse Research Engineer, you will have the opportunity to work on a diverse range of projects, from developing machine learning models to analyzing large datasets. You will also have the chance to collaborate with other engineers, researchers, and stakeholders to drive innovation and improve our products.

If you are passionate about security, fraud detection, and machine learning, and you have a strong background in data analysis and software engineering, we encourage you to apply for this exciting role.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Develop and implement machine learning models to detect and prevent fraudulent activities and abuse on our platform.
  • Analyze large datasets to identify patterns and trends in fraudulent behaviors.
  • Collaborate with the security and fraud teams to design and implement solutions to mitigate abuse.
  • Work on the development and maintenance of our fraud detection systems.
  • Stay up-to-date with the latest trends and technologies in the field of fraud detection and machine learning.
  • Present findings and recommendations to stakeholders and management.
  • Participate in code reviews and contribute to the improvement of our codebase.
  • Mentor and guide junior engineers and researchers in the team.

    • 🎓 Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Mathematics, or a related field.
  • Strong background in data analysis and machine learning.
  • Experience with Python and other programming languages commonly used in data science.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
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