What are the responsibilities and job description for the Machine Learning Engineer Intern (Boulder, CO - Summer 2025) position at Splunk?
Description
Role Summary
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
- 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
- Monday, May 19, 2025 - Friday, August 8, 2025
- Monday, June 2, 2025 - Friday, August 22, 2025
- Monday, June 16, 2025 - Friday, September 5, 2025
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: $50 per hour
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay: $45 per hour
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay: $42 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!
Salary : $42 - $50