Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you.Role SummarySplunk is looking for Bachelor's and Master's students to join our team for Summer 2025! As an Applied Scientist intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment. You will engage in cutting-edge projects primarily centered on Generative AI, AI assistants, and scalable time series analysis, including anomaly detection and predictive analysis.You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.cWhat you'll get to doAchieve data science and software engineering goals set by you, your manager, and your mentorDrive deliverables on topics such as Generative AI, AI assistants, and scalable time series analysisLearn about Splunk, both the product and the companyWork and socialize with other interns and full-time SplunkersMust-have QualificationsActively pursuing a Bachelor's or Master's in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement.At least one semester/quarter remaining to complete after the internship.Available to work 40 hours a week for the duration of the internship.Nice-to-have QualificationsWe’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.Coursework and research experience in machine learning, either Generative AI technology and Large Language Models (LLM)Coursework and research experience with time series analysis (univariate and multivariate) with a focus on anomaly detection.Experience with ML frameworks (e.g., TensorFlow, PyTorch) and Python.Ability to work well with others in a fast-paced environment.Experience working in an agile environment.Strong communication skills, verbal and written.Enthusiasm for solving interesting problems.Experience programming in a large software project – at school, professionally, or in an open source context.Our Splunktern Program allows incoming interns the flexibility to choose from three start/end dates, currently anticipated to be:Monday, May 19, 2025 - Friday, August 8, 2025Monday, June 2, 2025 - Friday, August 22, 2025Monday, June 16, 2025 - Friday, September 5, 2025Candidates should consider their availability to start on one of these three dates prior to submitting an application. Please note: the dates above are subject to change at Splunk's sole discretion.Splunk is an Equal Opportunity EmployerAt Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

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