AI/Machine Learning Engineer Intern

Confirmed live in the last 24 hours

SentinelOne

United States - Remote

Remote

Posted March 30, 2026

Job Description

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

What are we looking for?

We’re looking for a highly motivated PhD student with strong backend fundamentals who is excited about building production AI systems. This role is a great fit for an aspiring software engineer who works comfortably in AI-driven problem spaces and wants to apply software engineering rigor to create LLM-backed products and platforms.

This is not a research-only role. While we work closely with research and science teams, this position sits squarely in a product engineering organization. The focus is on designing and building reliable systems that ship real value to customers and internal users. We value curiosity, experimentation, and a commitment to continuous learning.

What will you do?

As an AI Software Engineering Intern, you will own an end-to-end project from idea to functioning prototype, with a clear path to production. You will:

Develop Backend Services: Design and build services in Python that power AI-driven products and shared capabilities.
Integrate Systems: Build resilient service integrations across internal systems, handling failure modes and rate limits.
Build AI Features: Develop and evolve LLM-backed features and agentic workflows, focusing on reliability and real-world behavior.
Collaborate Cross-Functionally: Work with product managers, researchers, and senior engineers to turn loosely defined AI use cases into concrete, production-ready systems.
Shape AI Quality: Help build or extend evaluation harnesses, benchmarks, or feedback loops for AI-powered features.
Engage in Sprints: Work at a fast pace in two-week sprints and participate in weekly meetups to share progress and technical challenges.

What skills and knowledge should you bring?

Academic Background: Currently enrolled in a PhD program in Computer Science, Software Engineering, or a related quantitative field, graduating in 2027
Python Proficiency: Excellent modern Python engineering skills, with the ability to write readable, performant, and testable code.
AI Fundamentals: A strong background in AI/ML and experience with independent projects using LLMs, foundation models, or retrieval-augmented generation (RAG).
System Design: Solid understanding of software engineering principles, including APIs, version control, and system architecture.