Data Scientist (AI Engineering)

TL;DR

Data Scientist (AI Engineering): Designing and deploying machine learning models for real-time anomaly detection in intrusion detection systems with an accent on probabilistic modeling, dimensionality reduction, and Bayesian inference. Focus on detecting novel attack patterns and improving detection fidelity by collaborating with Senior Engineers and threat hunters.

Location: Must be local to DC, MD, and VA

Company

hirify.global is a company focused on protecting businesses against evolving cyberthreats with an end-to-end cyber resilience platform.

What you will do

• Design, prototype, and deploy statistical and machine learning models for real-time anomaly detection in intrusion detection systems.
• Apply Bayesian inference, probabilistic modeling, and dimensionality reduction to detect novel attack patterns.
• Work with large-scale, high-dimensional event data (e.g., authentication logs, DNS, process creation).
• Explore embeddings and representation learning to capture behavioral meaning in raw security events.
• Collaborate with Senior Engineers and threat hunters to deploy models at scale, evaluate model output, and improve detection fidelity.
• Develop and maintain cloud-based platforms for safely testing new algorithms prior to deployment and for change management.

Requirements

• Strong understanding of probability theory and statistical inference.
• Comfort with linear algebra concepts: vector spaces, projections, eigenvalues/eigenvectors, matrix factorization.
• Ability to reason through uncertainty and noise in real-world datasets.
• Proficiency in Python (NumPy, Pandas, scikit-learn, or similar).
• Problem-solving mindset — able to design approaches from first principles.
• Solve technical challenges specific to keeping machine learning applications compatible with the cloud architecture in place.

Nice to have

• Experience with anomaly detection methods — statistical, unsupervised, or deep learning-based.
• Familiarity with representation learning, embeddings, or neural networks.
• Experience with PCA, t-SNE, UMAP, autoencoders, or other dimensionality reduction methods.
• Prior exposure to security data (SIEM, EDR, network logs, etc.).

Culture & Benefits

• Medical, dental and vision – for employee, partner, and children!
• Generous PTO and observed holidays.
• Pension Plan with company-contribution.
• Employee Stock Purchase Program.
• Discounted gym access at several local facilities.
• Custom learning experience as part of our investment in you.