Senior Machine Learning Researcher

Develop and implement machine learning and deep learning models to detect, prevent, and mitigate security threats and fraudulent activities.

Collaborate with cross-functional teams including security analysts and software engineers to integrate ML solutions into security products effectively.

Conduct independent research and publish findings in reputable journals and conferences to advance ML and cybersecurity applications.

Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or related field.

Proficiency in ML algorithms, neural networks, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.

Strong programming skills in Python and R; familiarity with C++, Java, or Scala.

Familiarity with cybersecurity concepts, threat models, common attack vectors, and experience with security tools like intrusion detection systems and malware analysis. Work Experience Required: Not explicitly mentioned in the JD.

Experienced machine learning researcher with a focus on security and fraud detection in high-impact, enterprise environments.

Ability to operate independently on research projects while collaborating effectively with technical and non-technical stakeholders.

Skilled in translating complex technical ML concepts into practical security product features supporting global clients.