Onsite Embedded ML Engineer Intern — Summer 2027

Getajobchud; Tulsa (OK); On-site; USD 30,000 - 36,000; Full time

Job summary

Enovation Controls, a leader in embedded systems, seeks an Embedded Machine Learning Engineering Intern for Summer 2027 in Tulsa, OK. Program runs May 24 – August 6 and offers onsite, paid full-time work.

You will work with experienced engineers to develop and evaluate ML models for resource-constrained hardware, integrate ML into embedded software, and gain hands-on exposure to data, testing, and documentation.

Qualifications

• Currently enrolled in a bachelor’s or master’s 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, algorithms, or model development through coursework, projects, or independent learning.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to learn new technologies, troubleshoot technical challenges, 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

ML concepts

Problem solving

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 systems, seeks an Embedded Machine Learning Engineering Intern for Summer 2027 in Tulsa, OK. Program runs May 24 – August 6 and offers onsite, paid full-time work.

You will work with experienced engineers to develop and evaluate ML models for resource-constrained hardware, integrate ML into embedded software, and gain hands-on exposure to data, testing, and documentation.