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Embedded Machine Learning Internship Jobs in Saint Louis, MO

ServiceNow Developer

Saint Louis, MO · On-site

$52.50 - $72/hr

Are you looking for a career where professional development is embedded in your employer's core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

ServiceNow Developer

Saint Louis, MO · On-site

$51.25 - $70.50/hr

Are you looking for a career where professional development is embedded in your employers core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

ServiceNow Developer

Saint Louis, MO · On-site

$52.50 - $72/hr

Are you looking for a career where professional development is embedded in your employer's core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

Showing results 21-40

Embedded Machine Learning Internship information

See Saint Louis, MO salary details

$24.8K

$41.4K

$85.6K

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

As of Aug 17, 2026, the average yearly pay for embedded machine learning internship in Saint Louis, MO is $41,401.00, 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.

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.

What are popular job titles related to Embedded Machine Learning Internship jobs in Saint Louis, MO?

For Embedded Machine Learning Internship jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Internship jobs in Saint Louis, MO look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Saint Louis, MO are:

What cities near Saint Louis, MO are hiring for Embedded Machine Learning Internship jobs?

Cities near Saint Louis, MO with the most Embedded Machine Learning Internship job openings:

Infographic showing various Embedded Machine Learning Internship job openings in Saint Louis, MO as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Boeing Summer 2027 Internship Program (Paid) - Information Digital Technology & Security (IDT&S)

Boeing

Saint Charles, MO

Full-time

Medical, Life, Retirement

Posted 14 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 612 frontline employees who took The Breakroom Quiz

33rd of 540 rated manufacturers


Job description

Boeing Summer 2027 Internship Program (Paid) - Information Digital Technology & Security (IDT&S)

Company:

Launch your career with Boeing, celebrated by WayUp as a Top 100 Internship Program in the US for 2026! We are seeking motivated, enthusiastic, and innovative students to join our 2027 intern program.

Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners, defense, space and security systems, and service provider of aftermarket support. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and build something better for yourself, for our customers and for the world.

In more than 65 countries, you'll find our people working on advances like remarkable aircraft comprised mostly of composite materials. Versatile and powerful jet fighters and rotorcraft that explore new uses of technology. Aircraft powered by hydrogen and biofuels. And even blended wing body and hybrid-electric aircraft.

Boeing has shaped the course of human history through aerospace innovations. Today, because of our amazing people and powerful technologies, our products connect the globe, protect freedom, and advance scientific discovery around the world. From the depths of the ocean, to Mars and beyond, we're inspiring the next century of explorers - we invite you to join us on the journey ahead!

Information Digital Technology & Security (IDT&S) is seeking talented, forward-thinking students ready to assist in delivering best-in-class technological solutions for our global business, partners, and customers. As a summer intern, you will transition classroom theory into high-impact practice. You will take on projects designed to sharpen your existing technical toolkit while rapidly building new competencies

This immersive experience embeds you directly into collaborative teams to tackle complex, real-world challenges that extend far beyond the job. We offer specialized pathways across a diverse digital ecosystem in disciplines including, but not limited to: AI and Data, Application Development, Cybersecurity, Data Science and Business Analytics, Software Engineering, Information Protection, Network Design, Product Management, Project Management, Systems Analysis, Systems Architecture, Systems Integration, and User Experience Design.

As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things.
Over the course of our 10-12-week internship experience you will have the opportunity to:

  • Work directly with a mentor in your field of study while finding solutions to real world problems

  • Experience our products up close by touring our state-of-the-art manufacturing and research facilities

  • Interact directly with our company leaders to discuss strategy and the future of Boeing

  • Build a lasting professional network through social events and engaging activities

  • Gain the skills and knowledge to become a future leader in the aerospace industry

To learn more about internship opportunities, https://jobs.boeing.com/it-internships

Some of these positions are hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Some of thesepositions have been identified as virtual opportunities and do not require applicants to live in close proximity toa Boeing facility.

Some of thesepositionsare expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Some of these positions may require the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.

Some of these positions must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee.

Employer not willing to sponsor applicants for employment visa status.

Basic Qualifications (Required Skill/Experience):

  • Ability to work full-time for 10-12 weeks during Summer 2027

  • Currently an enrolled student attending a college or university with an expected graduation date on or after August 2027

Preferred Qualifications (Desired Skills/Experience):

  • Majoring in Computer Science, Data Science, Comp Engineering, Software Engineering, Statistics, Math, EE, Physics, Programming (Python), Cybersecurity, Cloud Computing, DevOps Engineering, Machine Learning, Generative AI, Analytics, Information Technology, Information Systems, Data Analytics or related fields of study

  • Strong academic performance (GPA of 3.0 or above)

  • Previous internships or work experience and/or involvement with student or civic organizations

  • Passion for the aerospace industry and interest and enthusiasm for a career with Boeing

  • The ability to relocate and work onsite

Relocation:

Some of these positions offer relocation based on eligibility.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

These positions are for first shift.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $44,000 - $89,000

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

Safety Sensitive:

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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