Site Reliability Engineer (SRE) Intern
Global Headquarters, United States
Full Time Internship Entry-level / Junior USD 40K - 50K
WEX
WEX is the global commerce platform for fuel and fleet, employee benefits, and business payments. Simplify your business and let WEX handle the complex.About the Team/Role
WEX seeks a curious and driven Site Reliability Engineer (SRE) Intern who is passionate about applying AI/ML to improve system reliability. This role will be with our SRE team. As an SRE Intern with an AI focus, you will have the opportunity to contribute to real-world projects that leverage cutting-edge AI/ML techniques to enhance the reliability and performance of our systems. Our team fosters a collaborative and innovative environment where you can learn from experienced engineers and make a tangible impact. This internship offers a unique opportunity to gain practical experience at the intersection of SRE and AI.
How you'll make an impact
Collaboratively contribute to developing and improving AI-driven automation tools and scripts for system management and deployment.
Proactively research and evaluate new technologies and tools, including AI/ML frameworks and platforms, to identify opportunities for enhancing system reliability and efficiency.
Creatively explore and implement machine learning algorithms and techniques for anomaly detection, predictive maintenance, and automated root cause analysis.
Effectively participate in incident response and troubleshooting, learning to identify and resolve issues quickly and efficiently while considering how AI/ML could improve these processes.
Document processes, procedures, and troubleshooting steps.
Collaborate with development, operations, and other teams to ensure system reliability and performance, including exploring potential AI/ML collaborations.
Contribute to post-incident reviews, investigating how AI/ML could have prevented or mitigated incidents.
Continually learn and apply SRE principles and best practices, focusing on how AI can be integrated to improve system reliability.
Experience you'll bring
Currently pursuing a Bachelor's degree in Computer Science, Engineering, or a related field with a focus on Machine Learning/Artificial Intelligence.
Educational experience working with machine learning algorithms and techniques.
Basic understanding of operating systems (Linux preferred) and networking concepts.
Preferred Qualifications
Familiarity with scripting languages (e.g., Python, Bash).
Experience with cloud platforms (e.g., AWS, GCP, Azure).
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Contributions to open-source projects, especially in AI/ML or SRE.
Tags: AWS Azure Computer Science Engineering GCP Linux Machine Learning Open Source Predictive Maintenance Python PyTorch Research Scikit-learn TensorFlow
Perks/benefits: Career development Competitive pay Flex hours Flexible spending account Flex vacation Health care Insurance Salary bonus
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