Federal Express

Intern - Data Science

Memphis, TN

Actively hiring, first seen by us 4 days ago

Pay: Multiple pay amounts — pay source
Pay Transparency: Pay: Salary is $25/hour for undergraduates and $30/hour for graduates. A $2,000 stipend is available for those relocating over 50 miles for an on site or hybrid internship or co-op experience. Additional Details: Posting closes on: 11/06/2026 at 4:00 PM CST / 5:00 PM EST.
Read the full posting
Work setting: HybridLocation limits apply — work setting source
Domicile This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week. Availability to work 40 hours/week for a 10 week program, June 7th - August 13th. Resumes should include the following information: email address, telephone number, name of college/university, degree, major, GPA, date of intended graduation (month & year).
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

New graduates: Open to new graduatesCurrently enrolled student or recent college graduate (within 6 months of graduation) at a college/university obtaining a 3.0 GPA or higher
Work authorization: Must already have the right to workImmigration sponsorship is not available for intern positions

Eligibility: Candidates must live within 50 miles of the campus location. — eligibility source
This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.
Read the full posting

What you’ll work on

Full posting

Design, develop, and prototype AI-powered solutions such as LLM assistants
Integrate AI models into existing applications, enterprise systems, and data pipelines
Analyze data using SQL and Python to find process and workflow improvements
Document solution architectures, data flows, and safeguards and governance controls

From the employer’s posting

Design, develop, and prototype AI-powered solutions, including LLM-based assistants

Integrate AI models and capabilities into existing applications, enterprise systems, and data pipelines

Analyze data using SQL, Python, and other analytical tools to identify opportunities for process optimization, workflow automation

Document solution architectures, technical designs, data flows, and implementation guidelines, including appropriate safeguards, governance controls

What you’ll bring

All qualifications

Core experience

Degree: Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline.
Knowledge, Skills, and Abilities
Ability to work productively and proactively, both independently and as a part of a team.
Ability to analyze, review, and make recommendations.

Preferred experience

Hands-on experience developing and integrating LLM-based APIs and implementing AI-powered features within applications.
Proficiency in Python, SQL, Power BI, Google Cloud Platform (GCP), and JavaScript.
Familiarity with production-grade AI application practices, including rate limiting, asynchronous processing, background job management, error handling, and performance monitoring to ensure reliability, scalability, and maintainability.

Qualification wording

Currently enrolled student or recent college graduate (within 6 months of graduation) at a college/university obtaining a 3.0 GPA or higher. Degree: Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline.

Knowledge, Skills, and Abilities

Ability to work productively and proactively, both independently and as a part of a team.

Ability to analyze, review, and make recommendations.

Hands-on experience developing and integrating LLM-based APIs and implementing AI-powered features within applications.

Proficiency in Python, SQL, Power BI, Google Cloud Platform (GCP), and JavaScript.

Familiarity with production-grade AI application practices, including rate limiting, asynchronous processing, background job management, error handling, and performance monitoring to ensure reliability, scalability, and maintainability.

Apply at Federal Express

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20264 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 6 and day 69.

From 4,331 similar postings that came down. Coming down is not always a hire.

Federal Express is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down quickly
33% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

JavaScript
Python
SQL
GCP
Power BI

Where the posting names them

- Hands-on experience developing and integrating LLM-based APIs and implementing AI-powered features within applications. - Proficiency in Python, SQL, Power BI, Google Cloud Platform (GCP), and JavaScript. - Familiarity with production-grade AI application practices, including rate limiting, asynchronous processing, background job management, error handling, and performance monitoring to ensure reliability, scalability, and maintainability.

- Integrate AI models and capabilities into existing applications, enterprise systems, and data pipelines to enhance functionality and operational efficiency. - Analyze data using SQL, Python, and other analytical tools to identify opportunities for process optimization, workflow automation, and AI-driven improvements. - Document solution architectures, technical designs, data flows, and implementation guidelines, including appropriate safeguards, governance controls, and operational guardrails.

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Your next step

Complete your application on careers.fedex.com. The employer’s form will show what is required.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Summary

As a FedEx Intern, you will be working on projects gaining you valuable, real-world experience in a professional environment as it relates to your field of study.

Essential Functions

Present and deliver long-term solutions that will have significant impacts to the business and/or customer experience.
Participates in various networking and/or community service events.
Perform other duties as assigned.

Additional Role Details

Design, develop, and prototype AI-powered solutions, including LLM-based assistants, document and data summarization tools, and automated customer support applications.
Integrate AI models and capabilities into existing applications, enterprise systems, and data pipelines to enhance functionality and operational efficiency.
Analyze data using SQL, Python, and other analytical tools to identify opportunities for process optimization, workflow automation, and AI-driven improvements.
Document solution architectures, technical designs, data flows, and implementation guidelines, including appropriate safeguards, governance controls, and operational guardrails.

Preferred Qualifications

Hands-on experience developing and integrating LLM-based APIs and implementing AI-powered features within applications.
Proficiency in Python, SQL, Power BI, Google Cloud Platform (GCP), and JavaScript.
Familiarity with production-grade AI application practices, including rate limiting, asynchronous processing, background job management, error handling, and performance monitoring to ensure reliability, scalability, and maintainability.

Minimum Education

Currently enrolled student or recent college graduate (within 6 months of graduation) at a college/university obtaining a 3.0 GPA or higher. Degree: Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline.

Minimum experience

No experience required.

Knowledge, Skills, and Abilities

Ability to work productively and proactively, both independently and as a part of a team.
Working knowledge of Microsoft Word, Excel, Outlook and PowerPoint.
Demonstrates interpersonal communication skills.
Time management, organizational and multi-tasking skills necessary to work in a fast-paced environment, handling various tasks and changing priorities, while maintaining a high attention to detail and accuracy to achieve daily assignments and goals.
Verbal and written communication skills are necessary to communicate with business units and to all levels of management.
Ability to analyze, review, and make recommendations.

Domicile

This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.

Availability to work 40 hours/week for a 10 week program, June 7th - August 13th. Resumes should include the following information: email address, telephone number, name of college/university, degree, major, GPA, date of intended graduation (month & year).

Immigration sponsorship is not available for intern positions. Sponsorship may be available for full-time, exempt positions, depending on the specific role and federal regulations. Note, sponsorship is never guaranteed under any circumstances.

Preferred Qualifications:

Pay Transparency:

Pay: Salary is $25/hour for undergraduates and $30/hour for graduates. A $2,000 stipend is available for those relocating over 50 miles for an on site or hybrid internship or co-op experience.

Additional Details: Posting closes on: 11/06/2026 at 4:00 PM CST / 5:00 PM EST.

For details on our comprehensive benefits, click here.

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

E-Verify Notice (bilingual)
Right to Work Notice (English) / (Spanish)

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