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Embedded Machine Learning Internship Jobs in Oregon

Apple

SerDes Micro Architect

Beaverton, OR

... Machine Learning concepts Experience in firmware or embedded software development is a plus Minimum Qualifications BS degree in technical discipline with minimum 10 years of relevant experience.

Blue River Technology

OR

$160K - $287K/yr

... AI, machine learning, computer vision, and robotics. BRT acts as a research and development ... You will fine-tune models for real-time, sub-millisecond inference on the mower's embedded NVIDIA ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start immediately, 12 week internship, and work 40 ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

New

Media.Monks

$130K/yr

... contributor embedded directly within our client's business. In this role, your primary ... and machine learning to help turn raw data into actionable business decisions. This position ...

New

Pacvue

OR · On-site

Serve as a senior customer-facing voice for Pacvue on AI, machine learning, Pacvue Agent, agentic ... Ensure AI is embedded into core product workflows rather than treated as a standalone feature or ...

Monks

... contributor embedded directly within our client's business. In this role, your primary ... and machine learning to help turn raw data into actionable business decisions. This position ...

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

... embedded in C# .NET code to a scalable, cloud-native architecture on AWS and expanding into our ... Exposure to machine learning pipelines and real-time data processing Benefits * Medical and Dental ...

Liberty Mutual

Collaborate with other data scientists, machine learning engineers, data engineers, and business ... inclusion embedded in every aspect of our culture and reflected in everyday interactions. This ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

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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 are the most commonly searched types of Embedded Machine Learning jobs in Oregon? The most popular types of Embedded Machine Learning jobs in Oregon are:
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Embedded Machine Learning Internship jobs near you
Senior Middleware Development Engineer

Senior Middleware Development Engineer

Intel

Hillsboro, OR

$128K - $245K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers

Job description

Job Details:Job Description: 

Build the Future of High-Performance Computing

Join Intel's Communication Runtimes team and develop cutting-edge software that powers the world's most advanced supercomputers and AI systems. Work on communication libraries that enable breakthrough scientific discoveries and machine learning innovations at unprecedented scale.
What You'll Create - Next-Generation Communication Libraries

  • Design, develop, and maintain features and optimizations primarily focused on Intel SHMEM (Shared Memory Access) with potential to contribute to Intel MPI (Message Passing Interface), MPICH, and Intel oneCCL (Collective Communications Library)
  • Optimize software for exceptional performance: low latency, high bandwidth, and maximum reliability
  • Build expertise with cutting-edge Intel GPUs and CPUs powering today's data centers


Revolutionary Impact

  • Collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs
  • Make meaningful contributions that advance scientific computing and machine learning capabilities
  • Work across multiple levels of the communications stack to solve complex distributed computing challenges


Cross-Functional Excellence

  • Partner with cross-functional teams to define software requirements and technical specifications
  • Drive performance optimizations that push the boundaries of what's possible in high-performance computing
  • Contribute to software that enables breakthrough research in climate modeling, drug discovery, and AI


Essential Skills

  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving abilities
  • Excellent communication skills for technical collaboration
  • Passion for making meaningful impact in scientific computing
Qualifications:

Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or STEM-related field and 3+ years of relevant industry, internship, or research experience
  • 3+ years of C and C++ programming experience
  • 3+ years of Linux development experience
  • Experience with multithreaded programming
  • Experience in one or more of the following:
    • Distributed computing systems
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (i.e., MPI, oneCCL/NCCL, SHMEM)
    • GPU software development
    • Network communications stack development

Preferred Qualifications

  • Post-graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM field
  • Performance Optimization: Experience developing optimizations that improve communications latency or throughput
  • Advanced Debugging: Experience troubleshooting complex issues across multiple hardware and software stack layers


Why This Role Matters

  • Scientific Impact: Your code will enable groundbreaking research and discoveries
  • AI Revolution: Power the next generation of machine learning and AI systems
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Texas, AustinBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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