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Embedded Machine Learning Internship Jobs in Auburn, AL

Embedded Machine Learning Internship information

See Auburn, AL salary details

$21.3K

$35.6K

$73.5K

How much do embedded machine learning internship jobs pay per year?

As of Jul 5, 2026, the average yearly pay for embedded machine learning internship in Auburn, AL is $35,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,200.00 and $38,400.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

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

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Infographic showing various Embedded Machine Learning Internship job openings in Auburn, AL as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $35,588 per year, or $17.1 per hour.
Manufacturing Engineering Development Program (MEDP) - US - January 2027 Start

Manufacturing Engineering Development Program (MEDP) - US - January 2027 Start

General Electric Company

Auburn, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Description SummaryAre you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.Job Description

Job Summary

The Manufacturing Engineering Development Program (MEDP) is a 2-year development program in manufacturing focused on developing and accelerating technical expertise across the Supply Chain. Engineers in the MEDP will work in manufacturing engineering assignments to gain experience through a mix of on-the-job training and classroom education structured to provide a foundation of technical and leadership skills. You'll complete two 12-month assignments to cultivate growth in key technical disciplines and engineering responsibilities. In addition, the MEDP will foster mentorship and structured learning opportunities with our team of manufacturing experts. Upon completion, you will be ready for promotional opportunities to further advance in GE Aerospace.

Essential Responsibilities:

  • Provide daily hands-on support to shop floor personnel to help facilitate problem-solving and process improvements related to production or development labs.

  • Apply geometric dimensioning and tolerancing skills and interpret blueprints to facilitate component manufacturing processes.

  • Utilize various design and analytical software to support and improve manufacturing processes.

  • Advance and develop manufacturing planning, processes and work instructions.

  • Work with cross-functional teams to identify and implement process improvements to improve product quality, increase throughput, and reduce manufacturing costs.

  • Collect and analyze data from manufacturing processes to drive short- and long-term actions that support production.

  • Apply Lean and Six Sigma tools to identify waste and support decision-making processes.

  • Manage project plans related to manufacturing changes and collaborate with various functions to drive action and project closure.

Qualifications/Requirements:

  • Bachelor's or Master's degree in Engineering or a related field from an accredited university or college (or an associate degree in Engineering or a Technology discipline with at least 3 years of manufacturing experience)

  • Minimum 3.0 cumulative GPA off a 4.0 scale without rounding (or a minimum of 3 years of experience in a manufacturing-related role)

Eligibility Requirements:

Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Desired Characteristics:

  • Desire to be hands-on in a manufacturing environment

  • Humble: respectful, receptive, agile, eager to learn

  • Transparent: shares critical information, speaks with honesty, contributes constructively

  • Focused: quick learner, strategically prioritizes work, committed, and takes initiative

  • Leadership ability: strong communicator, decision-maker, collaborative teamwork

  • Problem solver: analytical-minded, challenges existing processes, critical thinker

  • Comfortable working in a fast-paced shop floor environment around various machine tools and equipment

  • Preference will be given to those with prior internship or co-op experience

  • Demonstrated commitment to community and/or university involvement

  • Knowledge of manufacturing technologies

Benefits:

GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Contribution Savings and a 401K with Company matching, Life Insurance options, Disability coverage, permissive paid time-off, paid parental benefits, tuition reimbursement programs, Employee Assistance Program (EAP), and more.

The base salary for this position is set at $81,000 and this position is eligible for a target bonus of 5% of base salary. Relocation support is available for qualified moves to a new city. Performance-based salary increases are reviewed after each completed rotation.

Equal Opportunity Employer:

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes