AI/ML Observability Intern
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Job Description
AI/ML Observability Intern supporting observability for AI/ML applications while gaining hands-on experience in systems engineering and data analysis.
Responsibilities:
- Gain a deep understanding of the three pillars of observability (logs, metrics, traces) and how they are used to monitor complex systems.
- Help with validating, documenting, and exploring new data sources as they are onboarded into our observability platforms.
- Assist senior engineers in building and refining dashboards that provide clear insights into system health and performance.
- 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.
- Learn how AI/LLM applications are monitored by assisting with the instrumentation and analysis of telemetry from tools like Langfuse.
- Help write and refine simple scripts (primarily in Python) to automate data quality checks or reporting tasks.
- Help create and update documentation for tools, processes, and team projects.
Requirements:
- 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.
Benefits:
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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