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Embedded Machine Learning Internship Jobs in Sammamish, WA

Sr. SDE, EC2 Nitro Networking

Seattle, WA · On-site

$139K - $183K/yr

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to ...

Collaborate with engineers across embedded software, cloud, and machine learning to deliver new streaming capabilities. * Help shape the architecture and technical direction of Axon's native ...

Showing results 41-60

Embedded Machine Learning Internship information

See Sammamish, WA salary details

$28.5K

$47.6K

$98.4K

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

As of Aug 22, 2026, the average yearly pay for embedded machine learning internship in Sammamish, WA is $47,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 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 job categories do people searching Embedded Machine Learning Internship jobs in Sammamish, WA look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Sammamish, WA are:

What cities near Sammamish, WA are hiring for Embedded Machine Learning Internship jobs?

Cities near Sammamish, WA with the most Embedded Machine Learning Internship job openings:

Infographic showing various Embedded Machine Learning Internship job openings in Sammamish, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $47,605 per year, or $22.9 per hour.

Sr. SDE, EC2 Nitro Networking

Amazon

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we're expanding our team and looking for talented engineers like you to be part of this journey.
You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale.
As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro.
We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems.
With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge.
Key job responsibilities
- Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads.
- You set high standards for development processes, tools, and automation to enhance team productivity and quality.
- Own the team architecture and define best engineering practices on design and coding.
- You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams.
- Mentor junior engineers with scoping, design, and developing scalable and maintainable code.
- Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience in embedded development in C/C++
- Knowledge of system performance, memory management, and parallel computing principles
PREFERRED QUALIFICATIONS
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Knowledge of machine learning model architecture and inference
- Experience developing low-level systems software, networking dataplane, or performance-critical services
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US