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Embedded Machine Learning Internship Jobs in Portland, OR

INTEL

Yield Development Engineer

Lafayette, OR · On-site

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Intel

Yield Development Engineer

Hillsboro, OR · On-site

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

INTEL

Yield Development Engineer

Portland, OR

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

INTEL

Yield Development Engineer

Hillsboro, OR · On-site

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

INTEL

Yield Development Engineer

Vernonia, OR

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

Intel

AI Software Engineering Intern

Hillsboro, OR

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

Jobs for Humanity

Speakers/Writers

Hillsboro, OR

$15 - $60/hr

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Portland, OR

Embedded Machine Learning Internship information

See Portland, OR salary details

$27K

$45.2K

$93.3K

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

As of Aug 21, 2026, the average yearly pay for embedded machine learning internship in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 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 the most commonly searched types of Embedded Machine Learning jobs in Portland, OR?

The most popular types of Embedded Machine Learning jobs in Portland, OR are:

What are popular job titles related to Embedded Machine Learning Internship jobs in Portland, OR?

For Embedded Machine Learning Internship jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Internship jobs in Portland, OR look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Portland, OR are:

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Gresham, OR • On-site

$50/hr

Other

Posted 20 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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