AI/ML Observability Intern

Summary

Leidos is seeking a motivated and curious AI/ML Observability Intern to join their Enterprise Observability Team within the Chief Data & Analytics Office. This remote internship offers hands-on experience with observability platforms and AI/ML applications to enhance system reliability and performance.

Responsibilities

• Learn Observability Fundamentals: Gain a deep understanding of the three pillars of observability (logs, metrics, traces) and how they are used to monitor complex systems
• Assist with Telemetry Data Tasks: Help with validating, documenting, and exploring new data sources as they are onboarded into our observability platforms
• Contribute to Dashboards & Visualization: Assist senior engineers in building and refining dashboards that provide clear insights into system health and performance
• Support AI/ML Model Lifecycle: Assist data scientists with tasks related to model creation, implementation, and deployment, such as data preparation, feature exploration, and validating model results for observability use cases
• Explore AI Observability: Learn how AI/LLM applications are monitored by assisting with the instrumentation and analysis of telemetry from tools like Langfuse
• Contribute to Automation: Help write and refine simple scripts (primarily in Python) to automate data quality checks or reporting tasks
• Contribute to Documentation: Help create and update documentation for tools, processes, and team projects

Skills

• Currently enrolled in an accredited Bachelor's or Master's degree program in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
• US citizenship required
• Basic programming or scripting knowledge (Python is strongly preferred)
• Academic or project-based exposure to data analysis or machine learning concepts
• A strong desire to learn, a proactive attitude, and excellent problem-solving skills
• Ability to work collaboratively in a remote team environment
• Coursework or projects related to machine learning, statistical modeling, or AI
• Familiarity with data formats like JSON or CSV
• Exposure to cloud platforms (e.g., AWS, Azure) or Linux/Unix environments
• Familiarity with version control using Git

Qualifications

Must Haves

• Currently enrolled in an accredited Bachelor's or Master's degree program in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
• US citizenship required
• Basic programming or scripting knowledge (Python is strongly preferred)
• Academic or project-based exposure to data analysis or machine learning concepts
• A strong desire to learn, a proactive attitude, and excellent problem-solving skills
• Ability to work collaboratively in a remote team environment

Nice to Haves

• Coursework or projects related to machine learning, statistical modeling, or AI
• Familiarity with data formats like JSON or CSV
• Exposure to cloud platforms (e.g., AWS, Azure) or Linux/Unix environments
• Familiarity with version control using Git

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement