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. - Communication: Excellent communication skills and a collaborative approach to solving complex problems. - Cybersecurity Interest: Curiosity about applying AI to cybersecurity or hands-on experience in the domain. Why us? Our global internship program trains the next-generation of cybersecurity talent across a range of specializations, from threat intelligence to information security, engineering and marketing. Interns can learn about the network security industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including: - 1:1 mentorship - The opportunity to expand your knowledge and work on challenging projects - Training and Development opportunities - Connections to other recent grads, and employees across the company - Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts - Fun events! 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. You can also reach out to the recruiter with any questions. Base Salary Range $31—$31 USD 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.

• Architect and maintain production-grade ML pipelines and infrastructure • Oversee end-to-end data collection and processing • Drive the adoption of MLOps practices • Partner closely with data scientists • Clean, preprocess, and manage large-scale datasets • Perform Exploratory Data Analysis (EDA) • Identify and implement opportunities to improve system performance • Continuously monitor deployed models for performance drift • Collaborate within a multi-functional Agile team

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches - Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) - Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on machine learning experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches - Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) - Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on machine learning experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.