Principal Security ML Research Engineer

Навыки

Обязанности

• 01Design innovative ML architectures that enhance threat detection and response capabilities
• 02Prototype advanced AI agent workflows to streamline incident investigation processes
• 03Collaborate with cross-functional teams to define project specifications and ensure models are optimized for real-world performance and accuracy
• 04Develop machine learning models aimed at detecting behavioral anomalies in security telemetry
• 05Create techniques for profiling threat actors to better understand and predict their behaviors
• 06Collaborate with stakeholders to refine security use cases, ensuring the applicability of ML models
• 07Build evaluation frameworks to assess ML model performance metrics while developing benchmarking pipelines to test for accuracy and latency
• 08Implement guardrails that minimize false-positive rates in detection systems
• 09Measure the endurance of models against adversarial attacks and prompt injections, and conduct regular audits of model robustness to report findings to stakeholders
• 10Mentor senior engineers in machine learning best practices and security methodologies to elevate the team's expertise
• 11Collaborate closely with Product Management to ensure that security research aligns with product roadmaps
• 12Foster well-developed relationships with engineering teams to guarantee the seamless implementation of machine learning solutions
• 13Produce technical blogs that showcase your innovative findings in security machine learning
• 14Author white papers that tackle emerging threats and detection strategies
• 15Present insights at industry conferences to share advancements in security ML, and engage with the security research community to promote collaboration and information sharing

Требования

• 01Master's degree in Computer Science, Cybersecurity, or a related field, or 5+ years designing and implementing security machine learning models
• 02Experience with vector search technology for data retrieval
• 03Retrieval-Augmented Generation techniques
• 04Working knowledge of deep learning, clustering, and graph algorithms
• 05Experience training models using scikit-learn, xgboost, PyTorch/Tensorflow
• 06Knowledge of behavioral anomaly detection in security telemetry
• 07Expertise in profiling threat actor behaviors using machine learning
• 08Ability to develop evaluation frameworks for ML model performance metrics
• 09Experience with benchmarking pipelines for testing accuracy and latency
• 10Experience developing industry-leading scalable machine learning models that significantly improved threat detection while ensuring minimal false-positive rates
• 11Published research in reputable security and machine learning journals or presented findings at major security conferences and workshops
• 12Proficiency in modern AI/ML frameworks and hands-on experience integrating LLM APIs into production applications
• 13You possess the ability to comfortably rotate across projects, collaborate across functions and teams, and seamlessly adapt to evolving team structures
• 14Proven ability to seamlessly transition between different projects, codebases, or scrum teams based on dynamic business priorities
• 15You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication

Условия

• 01Competitive pay based on the work you do here and not your previous salary
• 02Health coverage for you and your family in many locations
• 03Ability to craft your calendar with flexible locations and schedules for many roles
• 04Generous number of vacation days each year
• 05We match up to $2000 (or local currency equivalent) for financial donations and service
• 06Up to 40 hours each year to use toward volunteer projects you love
• 07Embracing parenthood with minimum of 16 weeks of parental leave