Senior Machine Learning Engineer, Behavioral Biometrics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop authorship verification models framed as an open-set verification challenge.

• Extract insights from keystroke telemetry, encompassing timing distributions, digraph and trigraph latencies, pause and burst patterns, editing and revision behaviors, and effort over time.

• Enhance models for edge inference on student laptops, focusing on latency, memory, CPU usage, quantization, and runtime selection.

• Create robust evaluations utilizing subject-disjoint splits and session-leakage detection.

• Report rates of false acceptances and false rejections while assessing performance across various keyboard layouts, device types, non-native typists, and writers with motor differences.

• Investigate resilience against replay attacks and synthetic keystroke generation.

• Contribute to the establishment of privacy and fairness standards concerning biometric data.

• Collaborate with data and software engineers to transition models from notebooks to production, maintaining involvement post-launch.

⛳️ Requirements

• M.S. degree with 3+ years of relevant experience, or a Ph.D. in Computer Science (or a related discipline).

• Direct research experience gained through graduate lab work, thesis research, or published papers.

• Proven ability to carry a research question from hypothesis formulation through data collection, modeling, and validation.

• Proficiency in advanced Python, with strong knowledge of scikit-learn, pandas, NumPy, and a deep learning framework like PyTorch.

• Expertise in gradient-boosted trees applied to engineered features, including LightGBM, XGBoost, and random forests.

• Comfortable utilizing sequence models when the temporal structure warrants the investment.

• Familiarity with concepts such as leakage, distribution shift, small-sample effects, and evaluation designs that favor the model.

• Strong technical writing skills.

• Proficient in both written and spoken English.

🏝️ Benefits

• Comprehensive health benefits.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative team environment.