Senior Machine Learning Engineer

Job Summary

To support innovative authorship verification solutions, the remote Senior Machine Learning Engineer will build and validate models for behavioral biometrics, focusing on keystroke dynamics and privacy-sensitive applications.

Key responsibilities

• Develop and optimize authorship verification models using similarity learning and few-shot approaches
• Extract and analyze features from keystroke telemetry to enhance model accuracy and performance
• Design and implement evaluation strategies to ensure model robustness and fairness across diverse user populations

Required qualifications

• M.S. with 3+ years of relevant experience or Ph.D. in Computer Science or a related field
• Direct research experience demonstrated through graduate work, thesis, or publications
• Advanced proficiency in Python and familiarity with libraries such as scikit-learn, pandas, and PyTorch
• Experience with gradient-boosted trees and sequence models for temporal data analysis
• Strong analytical skills to identify potential issues in model evaluation and performance