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Embedded Machine Learning Internship Jobs in Connecticut

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

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Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

BLP Intern - Credit

Stamford, CT

$16 - $21.25/hr

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... SAS, Python, Machine Learning * Modeling skills plus experience with financial statements P&L ...

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... edge machine learning models to predict customer behavior. You will work with large and complex ...

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Embedded Machine Learning Internship information

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 job categories do people searching Embedded Machine Learning Internship jobs in Connecticut look for? The top searched job categories for Embedded Machine Learning Internship jobs in Connecticut are:
What cities in Connecticut are hiring for Embedded Machine Learning Internship jobs? Cities in Connecticut with the most Embedded Machine Learning Internship job openings:
Stipend - P-Tech Paid Internship (2026-2027 SY)

Stipend - P-Tech Paid Internship (2026-2027 SY)

Norwalk Public Schools

Norwalk, CT

Other

Posted 13 days ago


Job description

2026-2027 School Year

Stipend P-Tech Paid Internship (Student Worker)

P-Tech High School

Position Summary:
The Student Teaching Intern is a high school student enrolled in a Teaching Methods
course who participates in a structured, school-based internship. This role provides
hands-on experience in classroom instruction, student engagement, and educational
practices under the supervision of a certified teacher. Interns will support
instructional activities, observe teaching strategies, and gradually take on guided
responsibilities to build foundational teaching skills.
 






Responsibilities:
 Assist the supervising teacher with daily classroom activities and lesson
preparation
Support small group instruction and individual student learning as directed
Observe and reflect on instructional strategies and classroom management
techniques
 Help prepare instructional materials, resources, and classroom displays
 Provide peer support to students during class activities
 Participate in feedback sessions with the supervising teacher and/or course
instructor
 Maintain professionalism, punctuality, and confidentiality at all times
 Complete any required reflections, logs, or assignments connected to the
Teaching Methods course
Learning Objectives:
 Gain practical experience in classroom instruction and educational
environments
Develop communication, collaboration, and leadership skills
 Understand lesson planning, student engagement, and differentiated
instruction
 Explore careers in education and related fields
Qualifications:
 Enrollment in a Teaching Methods or related education course




















 Good academic standing and consistent school attendance
 Strong communication and interpersonal skills
 Interest in teaching, education, or working with students
 Ability to follow directions and maintain professionalism in a school setting
 



Supervision:

Student interns will report directly to an assigned supervising teacher and will also be
supported by the Teaching Methods course instructor or program coordinator.
Work Environment:
This position is based within the high school during the regular school day. Interns will
work in classrooms and educational settings aligned with their placement.



Duration: January June (Spring Semester)
Schedule: Up to three days per week (based on student schedule)
Salary: This is a stipend-paid internship. Payment details will be provided by the school
or program coordinator and may be distributed on a scheduled basis throughout
the internship period.



Apply at

www.norwalkps.org/applynow

Click "Employment"

NORWALK IS AN EQUAL OPPORTUNITY EMPLOYER

It is the policy of the Norwalk Board of Education to ensure equal educational opportunity for all students and to prohibit unlawful discrimination because of race, color, religion, creed, age, marital status, national origin, gender, pregnancy, sexual orientation, gender identity and expression, transgender status or physical and mental disability in the school district's educational program and activities; and to prohibit unlawful discrimination in employment because of race, color, religion, creed, age, marital status, national origin, gender pregnancy, veteran status, gender identity or expression, transgender status, sexual orientation or physical and mental disability.