AI Research Scientist (Cybersecurity)

Location: Hybrid, with a minimum of three days per week in the office in Addison, TX; Bellevue, WA; Durham, NC; Emeryville, CA; or Reston, VA. Applicants must be a U.S. citizen, national, or lawful permanent resident as required by Department of Defense requirements.

Annual base salary: $143,000–$219,000, plus equity and benefits.

Company

hirify.global develops autonomous IT and endpoint management and security solutions using real-time intelligence, agentic decision-making, and autonomous execution.

What you will do

• Collaborate with data science and engineering teams to design and implement AI and machine learning algorithms for autonomous IT capabilities.
• Develop and evaluate models for anomaly detection, threat identification, performance optimization, classification, regression, and related use cases.
• Analyze large-scale endpoint data, extract insights, and develop predictive models.
• Design and implement data pipelines for efficient endpoint data processing and analysis at scale.
• Conduct exploratory data analysis, create visualizations, and communicate findings to technical and non-technical stakeholders.
• Document methodologies, experiments, and results; track advances in AI, ML, LLMs, and endpoint management; and translate research into scalable product features.

Requirements

• U.S. citizenship, nationality, or lawful permanent residency is required under applicable Department of Defense requirements.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
• At least 1 year of experience in applied machine learning, data science, or AI research, or equivalent demonstrated expertise.
• Experience developing and deploying ML models for classification, regression, or anomaly detection.
• Experience working with large-scale datasets and the tools and techniques needed to process and analyze them efficiently.
• Strong foundation in machine learning, data analysis, and statistics.
• Proficiency in Python and familiarity with PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, and pandas.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent written and verbal communication skills, including the ability to explain complex technical concepts to diverse audiences.

Nice to have

• Experience in statistical modeling, anomaly detection, LLM internals, or agentic AI systems.
• Passion for technology, cybersecurity, and autonomous systems.

Culture & Benefits

• Collaborative, respectful, and diverse work environment.
• Five days of volunteer time off annually.
• Equity awards and medical, dental, and vision coverage.
• Family planning benefits, HSA, FSA, transportation savings account, and 401(k) with company match.
• Life, accident, disability, business travel accident, employee assistance, and other well-being benefits.