Applied Scientist Intern - PhD (US Remote - Fall 2024)
Description
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 Summary
This is a remote-only role and will not require relocation. We welcome applicants from anywhere in the US.
Splunk is looking for PhD students to join our team for Fall 2024! 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.
What you'll get to do
- Achieve data science and software engineering goals set by you, your manager, and your mentor
- Drive deliverables on topics such as Generative AI, AI assistants, and scalable time series analysis
- Learn about Splunk, both the product and the company
- Work and socialize with other interns and full-time Splunkers
Must-have Qualifications
- Actively pursuing a PhD 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 15 weeks
Nice-to-have Qualifications
We’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.
Splunk is an Equal Opportunity Employer
At 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.
Note:
Base Pay Range based on a candidate completing [Intern Level] years of university or the academic equivalent
Base Pay Range
SF Bay Area, Seattle Metro and New York City Metro Area
Base Pay: $82 per hour
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay: $75 per hour
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay: $67 per hour
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out below, as well as the knowledge, skills, year in school and experience of the candidate. In addition to base pay, this role may be eligible for benefits.
Thank you for your interest in Splunk!