Research Scientist Intern - PhD
Core
Building and evaluating predictive models, data pipelines, and analytics systems while working on AI safety, robustness, and responsible use of AI systems.
Role type
PhD Research Scientist Intern (AI/ML)
Builds
Predictive models, data pipelines, analytics systems, and AI safety mechanisms
Domain
Cybersecurity, Identity Management, Artificial Intelligence
Deliverable
production ML models
Required skills
Deep learning, state-of-the-art AI techniques, Python, model optimization, research problem ownership
Preferred skills
PyTorch, TensorFlow, Scikit-learn, cloud environments (AWS, Azure, GCP), containerization (Docker/Kubernetes), scholarly publications in top-tier AI/ML conferences
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, AWS, Azure, GCP, Docker, Kubernetes, GitHub Copilot, Cursor, Claude
Responsibilities
Design, implement, and test software components or models; Explore new tools, frameworks, and datasets to enhance product capabilities; Collaborate with technical teams and cross-functional teams on impactful projects; Contribute to documentation, presentations, or demos at the end of the internship
Seniority
Intern, PhD level
