Embedded ML Engineer Intern — Summer 2027

Enovation Controls, LLC; Tulsa (OK); On-site; USD 25,000 - 34,000; Full time

Benefits offered by this job

401(k) match

Healthcare options

Wellness support

Profit-sharing

Job summary

Enovation Controls, a leader in embedded electronic controls and display technology, seeks an Embedded Machine Learning Engineering Intern for Summer 2027 in Tulsa, OK. The paid internship offers hands-on experience building ML solutions for resource-constrained embedded platforms and collaboration with cross-functional teams.

You will work on developing models, deploying ML on embedded hardware, and supporting end-to-end data workflows while gaining exposure to system integration and real-world

Qualifications

• Enrolled in a bachelor’s or master’s degree program in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, Robotics, or a related field.
• Programming knowledge in Python, C++, or C.
• Foundational understanding of machine learning concepts through coursework or projects.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to learn new technologies and work collaboratively with others.
• Strong attention to detail and the ability to communicate technical findings clearly.

Responsibilities

• Assist with developing and evaluating machine learning models for potential use in embedded systems.
• Explore techniques for deploying and running ML models on resource-constrained hardware.
• Support the integration of machine learning capabilities into embedded software applications.
• Collect, prepare, and analyze datasets for model development, testing, and evaluation.
• Evaluate model performance, accuracy, efficiency, and suitability for embedded applications.
• Investigate methods for optimizing models to reduce computational requirements, memory usage, and processing time.
• Develop scripts, prototypes, and tools to support model training, testing, and deployment.
• Document development processes, test results, and findings to support ongoing engineering efforts.
• Collaborate with software, hardware, and engineering teams to explore innovative technology applications.

Skills

Python

C++

C

Machine Learning

Analytical thinking

Problem solving

Team collaboration

Ambiguity tolerance

Education

Bachelor's or Master's in CS/CE/EE/AI/DS/Robotics

Tools

PyTorch

TensorFlow

TensorFlow Lite

Linux

Job description

Enovation Controls, a leader in embedded electronic controls and display technology, seeks an Embedded Machine Learning Engineering Intern for Summer 2027 in Tulsa, OK. The paid internship offers hands-on experience building ML solutions for resource-constrained embedded platforms and collaboration with cross-functional teams.

You will work on developing models, deploying ML on embedded hardware, and supporting end-to-end data workflows while gaining exposure to system integration and real-world