DescriptionSummary
This internship is an exciting opportunity for students who want to grow their skills in AI development data analysis and troubleshooting innovation. You will gain handson experience working with real product logs support workflows and AI techniques used in modern customer support operations. Throughout the internship you will deepen your technical abilities learn how AI can enhance realtime problem solving and collaborate with experienced engineers who will guide your learning. This role offers meaningful exposure to AI pipelines secure development practices and practical solutionbuildingallowing you to make valuable contributions while developing skills that support your longterm career growth.
In This Role Your Responsibilities Will Be:
- Building a minimal pipeline for log ingestion parsing and enrichment such as timestamp normalization and component tagging.
- Implementing pattern and anomaly detection using rules embeddings or lightweight models and mapping results to knownissue knowledge and playbooks.
- Designing agentassist outputs including rootcause hypotheses clarifying questions resolution steps and customersafe wording.
- Prototyping postcall summary generation aligned with ticket fields such as issue type impacted module steps taken and status.
- Assessing and documenting data security and privacy controls including PII redaction and safeprompt practices.
- Defining and running evaluation metrics such as topk accuracy precision/recall for issue classification and timetofirstsuggestedaction.
- Presenting findings tradeoffs and recommended next steps to project stakeholders.
Who You Are
You learn quickly when faced with new problems experimenting with different approaches until you find what works. You stay curious and open to creative ideas especially when information is limited or evolving. You take initiative breaking work into manageable steps and moving tasks forward with energy and focus. You adapt smoothly when situations change and collaborate with others using a positive solutionsoriented mindset.
For This Role You Will Need:
- Currently pursuing a degree in Computer Science Information Technology or a related field.
- Ability to complete at least 480 internship hours (open to required or voluntary internships).
- Ability to begin the internship on March 9 2026.
- Coursework or experience in Python C# or basic machine learning or natural language processing.
- Familiarity with regex data parsing and handling semistructured logs.
- Understanding of classification or ranking tasks and how evaluation metrics work.
- Interest in customer support tooling user experience for agent productivity or responsible AI.
Preferred Qualifications That Set You Apart:
- Familiarity with Python and libraries such as pandas scikitlearn or spaCy with optional exposure to platforms like Azure/OpenAI.
- Ability to work with parsing and search techniques including regex log parsers or keyword and embeddingbased retrieval.
- Comfort experimenting with lightweight frontend tools such as Streamlit Flask or notebookbased interfaces.
- Experience handling different data formats such as CSV Parquet or mock ticket datasets with optional exposure to vector stores.
- Awareness of secure development practices such as PII redaction safe access controls or basic audit logging.
Our Culture and Commitment To You
At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.
Required Experience:
Intern
DescriptionSummaryThis internship is an exciting opportunity for students who want to grow their skills in AI development data analysis and troubleshooting innovation. You will gain handson experience working with real product logs support workflows and AI techniques used in modern customer support ...
DescriptionSummary
This internship is an exciting opportunity for students who want to grow their skills in AI development data analysis and troubleshooting innovation. You will gain handson experience working with real product logs support workflows and AI techniques used in modern customer support operations. Throughout the internship you will deepen your technical abilities learn how AI can enhance realtime problem solving and collaborate with experienced engineers who will guide your learning. This role offers meaningful exposure to AI pipelines secure development practices and practical solutionbuildingallowing you to make valuable contributions while developing skills that support your longterm career growth.
In This Role Your Responsibilities Will Be:
- Building a minimal pipeline for log ingestion parsing and enrichment such as timestamp normalization and component tagging.
- Implementing pattern and anomaly detection using rules embeddings or lightweight models and mapping results to knownissue knowledge and playbooks.
- Designing agentassist outputs including rootcause hypotheses clarifying questions resolution steps and customersafe wording.
- Prototyping postcall summary generation aligned with ticket fields such as issue type impacted module steps taken and status.
- Assessing and documenting data security and privacy controls including PII redaction and safeprompt practices.
- Defining and running evaluation metrics such as topk accuracy precision/recall for issue classification and timetofirstsuggestedaction.
- Presenting findings tradeoffs and recommended next steps to project stakeholders.
Who You Are
You learn quickly when faced with new problems experimenting with different approaches until you find what works. You stay curious and open to creative ideas especially when information is limited or evolving. You take initiative breaking work into manageable steps and moving tasks forward with energy and focus. You adapt smoothly when situations change and collaborate with others using a positive solutionsoriented mindset.
For This Role You Will Need:
- Currently pursuing a degree in Computer Science Information Technology or a related field.
- Ability to complete at least 480 internship hours (open to required or voluntary internships).
- Ability to begin the internship on March 9 2026.
- Coursework or experience in Python C# or basic machine learning or natural language processing.
- Familiarity with regex data parsing and handling semistructured logs.
- Understanding of classification or ranking tasks and how evaluation metrics work.
- Interest in customer support tooling user experience for agent productivity or responsible AI.
Preferred Qualifications That Set You Apart:
- Familiarity with Python and libraries such as pandas scikitlearn or spaCy with optional exposure to platforms like Azure/OpenAI.
- Ability to work with parsing and search techniques including regex log parsers or keyword and embeddingbased retrieval.
- Comfort experimenting with lightweight frontend tools such as Streamlit Flask or notebookbased interfaces.
- Experience handling different data formats such as CSV Parquet or mock ticket datasets with optional exposure to vector stores.
- Awareness of secure development practices such as PII redaction safe access controls or basic audit logging.
Our Culture and Commitment To You
At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.
Required Experience:
Intern
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