We are seeking an Machine Learning Engineering Intern to help design and build AI-native capabilities and intelligent agents that power the platforms and products developed at Resilient Privacy. In this role, you will collaborate with our AI and engineering teams to develop AI-driven systems that automate security analysis, data intelligence, and operational workflows across our technology stack.

The position involves working on AI agent development, model integration, data pipelines, and AI system optimization, enabling intelligent automation within cybersecurity and privacy technology solutions. You will help build systems that leverage modern LLMs, machine learning models, and AI orchestration frameworks to create scalable AI-powered capabilities.

This internship provides hands-on experience building production-grade AI systems, offering the opportunity to work on real-world challenges at the intersection of AI agents, automation, cybersecurity, and enterprise technology within a fast-growing startup environment.

What We’re Looking For

Strong interest in machine learning, AI, and privacy-preserving technologies.
Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Data Science, or related field.
Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and data processing libraries (pandas, numpy).
Experience with cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML) and containerized ML deployments.
Understanding of data privacy concepts and experience with privacy-preserving ML techniques (differential privacy, federated learning).
Proficiency in Python and experience with version control, testing, and collaborative development.
Strong analytical thinking and ability to translate business requirements into ML solutions.
Curiosity about emerging AI technologies and their applications to privacy and compliance challenges.

Key Behavior / Skills Requirements

Self-starter with an entrepreneurial mindset and strong sense of ownership over model performance and accuracy.
High integrity, results-driven, and committed to delivering reliable, ethical AI solutions.
Willing to roll up your sleeves, investigate model failures deeply, and find root-cause ML optimization solutions.
Strong written and verbal communication skills to clearly document model architectures and experimental results.
Analytical thinker with attention to detail and a focus on measurable ML metrics and business outcomes.
Team player who can work independently with minimal supervision while collaborating on complex AI research challenges.

Location / Travel

Position is 100% remote, with flexible working hours, open to candidates globally.

Compensation and Commitment

This internship requires a full-time commitment and is structured as remote, depending on team alignment and project needs. While the role is unpaid, interns gain direct exposure to the financial operations of a high-growth cybersecurity startup and participate in real business initiatives that influence company strategy.

Interns are provided hands-on mentorship from leadership, and the opportunity to contribute meaningfully to financial processes, reporting frameworks, and operational decision-making. This program is designed for individuals who want practical startup experience, ownership of real workstreams, and exposure to building a venture-scale technology company from the ground up.

ML Engineering Intern

ML Engineering Intern