Principal Security ML Research Engineer

United States Digital Space LLC; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

The Search AI Company is seeking a Principal Security ML Research Engineer to advance threat detection and protection capabilities. You will design cutting-edge ML architectures, prototype AI agent workflows, and collaborate with cross-functional teams to ensure real-world performance and robustness.

You will mentor engineers, align research with product roadmaps, and contribute to security analytics through blogs, white papers, and conference talks.

Qualifications

• Master's degree in Computer Science or Cybersecurity, or 5+ years designing and implementing security ML models.
• Experience with vector search, Retrieval-Augmented Generation, deep learning, clustering, and graph algorithms.
• Knowledge of behavioral anomaly detection in security telemetry and profiling threat actor behaviors using ML.

Responsibilities

• Design ML architectures to enhance threat detection and response; prototype AI agent workflows for incident investigation.
• Develop ML models to detect behavioral anomalies in security telemetry and profile threat actors.
• Build evaluation frameworks and benchmarking pipelines; minimize false positives and test robustness against adversarial attacks.
• Mentor engineers in ML best practices and align security research with product roadmaps.
• Produce technical blogs and white papers; present at industry conferences to share advances in security ML.

Skills

Vector search

RAG techniques

Deep learning

Behavioral anomaly detection

Graph algorithms

Clustering

Model evaluation

Education

Master's degree or 5+ years ML security experience

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

Job description

the company, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The the company Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - the company's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

As a Principal Security ML Research Engineer on the Threat Research and Detection Engineering team, you'll play a key role in enhancing the the company Security threat protections by developing advanced AI and machine learning solutions. In this position, you will address real-world cyber threats. You will use innovative ML detection techniques and effective workflows. You will also work with a diverse team that focuses on research and community involvement. If you're a skilled professional ready to shape the future of security analytics, this role invites you to make a tangible impact in the field.

What You Will Be Doing

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

What You Bring

• Master's degree in Computer Science, Cybersecurity, or a related field, or 5+ years designing and implementing security machine learning models
• Experience with vector search technology for data retrieval, Retrieval-Augmented Generation techniques, working knowledge of deep learning, clustering, and graph algorithms, and experience training models using scikit-learn, xgboost, PyTorch/Tensorflow
• Knowledge of behavioral anomaly detection in security telemetry and expertise in profiling threat actor behaviors using machine learning
• Ability to develop evaluation frameworks for ML model performance metrics and experience with benchmarking pipelines for testing accuracy and latency