Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Python @ 3
Machine Learning @ 3
API @ 3
System Architecture @ 3
LLM @ 3
AI @ 3
RAG @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Role description
As an AI/Machine Learning Engineer Intern, you will apply software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment. You will own an end-to-end project from initial idea to a functioning prototype with a clear path to production. Throughout the internship, you will collaborate with research teams and senior engineers to transform loosely defined AI use cases into concrete, production-ready systems.
Responsibilities
- 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, specifically handling complex failure modes and rate limits.
- Build AI features: develop and evolve LLM-backed features and agentic workflows, focusing on reliability and real-world behavior.
- Shape AI quality: help build or extend evaluation harnesses, benchmarks, and feedback loops to ensure the high performance of AI-powered features.
- Engage in sprints: work at a high velocity in two-week sprints and participate in weekly meetups to share technical progress and solve challenges.
Requirements
- Currently enrolled in a program in Computer Science, Software Engineering, or a related quantitative field (graduating in 2027).
- Excellent modern Python engineering skills with the ability to write readable, performant, and testable code.
- Strong background in AI/ML and experience with independent projects using LLMs, foundation models, or RAG.
- Solid understanding of software engineering principles, including APIs, version control, and system architecture.
- Genuine curiosity about applying AI to cybersecurity or hands-on experience in the domain.
Compensation
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process.
Base Salary Range
$31—$31 USD
Equal opportunity
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.