
Senior Machine Learning Engineer, Behavioral Biometrics
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in United States.
• Develop authorship verification models addressing the challenges of open-set verification.
• Derive behavioral signals from keystroke telemetry, encompassing timing distributions, digraph and trigraph latencies, pause and burst structures, editing and revision behaviors, and effort over time.
• Enhance model inference regarding latency, memory, and CPU usage on student laptops, incorporating quantization and runtime selection techniques.
• Create subject-disjoint evaluation splits while identifying any potential session leakage.
• Report on false accept and false reject rates, and assess performance across different keyboard layouts, device types, non-native typists, and writers with motor differences.
• Evaluate the model's resistance to replay attacks and synthetic keystroke generation.
• Assist in defining privacy and fairness standards for biometric data usage.
• Collaborate with data and software engineers to transition models from research notebooks to product releases while maintaining involvement post-deployment.
• M.S. with 3+ years of relevant experience, or a Ph.D. in Computer Science (or a related field).
• Direct research involvement through graduate lab work, thesis research, or published work.
• Proven experience in carrying a research question from hypothesis formulation through data collection, modeling, and validation.
• Proficient in advanced Python, with expertise in scikit-learn, pandas, NumPy, and a deep learning framework such as PyTorch.
• Strong background in gradient-boosted trees, including LightGBM, XGBoost, and random forests.
• Comfortable utilizing sequence models when the temporal structure justifies the expense.
• Knowledgeable about leakage, distribution shifts, small-sample effects, and evaluation setups that may favor the model.
• Excellent technical writing skills.
• Proficient in written and spoken English.
• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment.
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