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

Splunk

Full-time - Intern

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Splunk is seeking Bachelor's or Master's students for a Machine Learning Engineer internship for Summer 2025. Interns will work on real projects, collaborate with multi-functional teams, and receive mentorship while gaining insights into the company's culture and values. The role aims to support the interns' growth and development, preparing them for a successful start to their careers in a dynamic environment.

Responsibilities

• 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.

Requirements

• Actively pursuing a Bachelor's or Master's in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field.
• 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-haves

• Coursework or research experience in machine learning, either time series analysis 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.

Benefits

• Mentorship from experienced professionals.
• Opportunity to work on real projects.
• Networking with other interns and full-time employees.