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Machine Learning Developer Intern Jobs in Memphis, TN

Federal Express Corporation

Data Scientist II

Memphis, TN · On-site +1

$13K/mo

Provides recommendations to moderately complex issues through the application of data science, machine learning, Generative AI, and data engineering practices, leveraging data-driven insights to ...

New

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Lead Data Scientist

Memphis, TN · On-site

Work with software developers and machine learning engineers to implement models into production. * Project Management : Develop and manage project plans, ensuring timely delivery and alignment with ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Memphis, TN

Machine Learning Developer Intern information

See Memphis, TN salary details

$24.8K

$41.4K

$85.5K

How much do machine learning developer intern jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning developer intern in Memphis, TN is $41,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you
Infographic showing various Machine Learning Developer Intern job openings in Memphis, TN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,368 per year, or $19.9 per hour.

Data Scientist II

Federal Express Corporation

Memphis, TN • On-site, Remote

$13K/mo

Full-time

Posted yesterday

New

Job description

Under general supervision, advances' broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to keep on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems.

  • Applies descriptive, diagnostic, predictive, prescriptive, and ensemble modeling, statistical techniques, machine learning methods, and AI-driven approaches to analyze complex business situations and support decision making.
  • Provides recommendations to moderately complex issues through the application of data science, machine learning, Generative AI, and data engineering practices, leveraging data-driven insights to support business objectives.
  • Works in tandem with peer data scientists, engineers, and business stakeholders to develop, test, and deploy end-to-end analytical, machine learning, and AI solutions.
  • Assists in the development, evaluation, and deployment of machine learning, Generative AI, and LLM-based solutions, including experimentation, model validation, and performance monitoring.


Additional Job Description

Minimum Education:

Master's degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.

Minimum Experience:

At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to reduce costs, enhance profitability, and improve customer experience. An advanced degree in a related field may be considered in lieu of some experience.


Preferred Experience:

At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis, Generative AI), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to improve customer experience, reduce costs, enhance profitability, and solve business problems. Experience developing or supporting end-to-end analytics and machine learning solutions is preferred.


This position is eligible for remote work and may be located anywhere within the United States excluding AK, HI and U.S. territories, however if you live within the 50 miles radius of a campus you will be required to work at a FedEx campus location several times per week.


USA: $6,168.90/mo - $13,571.58/mo, CO: $6,168.90/mo - $13,006.09/mo, CA: $6,511.62/mo - $10,898.39/mo, NJ: $6,511.62/mo - $10,418.59/mo, OH & VT: $6,511.62/mo - $10,744.16/mo, MN: $6,511.62/mo - $12,440.61/mo, IL & NV: $6,511.62/mo - $13,006.09/mo, MD, NY & WA: $6,511.62/mo - $13,571.58/mo, MA: $6,854.33/mo - $13,571.58/mo, RI: $7,539.76/mo - $12,440.61/mo, CT: $7,539.76/mo - $13,006.09/mo, DC & HI: $7,882.48/mo - $13,006.09/mo, NYC: $7,882.48/mo - $13,571.58/mo


Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details:


FedEx Dataworks is an Equal Opportunity Employer including, Vets/Disability.

  • Know Your Rights
  • Pay Transparency

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.

Employment Type: FULL_TIME

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