Machine Learning Engineer Intern (Boulder, CO – Summer 2025) Full-time

Description

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it’s our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. 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. Come help organizations be their best, while you reach new heights with a team that has your back.
Role Summary

Splunk is looking for Bachelor’s or Master’s students to join our team for Summer 2025! As a Machine Learning Engineer intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic environment.

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 and your mentor
• 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 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 12 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 or research experience in machine learning, either time series analysis (univariate and multivariate) with a focus on anomaly detection OR in Generative AI technology and Large Language Models (LLM)
• Coursework and project or internship experience in software development
• Exposure to ML frameworks (e.g., TensorFlow, PyTorch) and Python
• Ability to work well with others in a fast-paced 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 dates, currently anticipated to be:

• Monday, May 19, 2025 – Friday, August 8, 2025
• Monday, June 2, 2025 – Friday, August 22, 2025
• Monday, June 16, 2025 – Friday, September 5, 2025

Candidates 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 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 is based on a candidate completing 3 years of university or the academic equivalent

Base Pay

SF Bay Area, Seattle Metro and New York City Metro Area

Base Pay: $45 per hour

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay: $41 per hour

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay: $36 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 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 above, 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!