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Embedded Machine Learning Internship Jobs in Sammamish, WA

Oracle

Principal Machine Learning Engineer

Seattle, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Oracle

Principal Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... And with AI embedded across our products and services, we help customers turn that promise into a ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Sammamish, WA

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 20, 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:

Embedded Machine Learning Internship jobs near you
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.

Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

Apple Inc.

Seattle, WA • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

Seattle, Washington, United States Software and Services

Join Apple’s innovative iOS Robotics team within Wireless Technologies and Ecosystems (WTE). We’re expanding the DockKit Framework’s focus on accessories, algorithms, and user experiences to make iOS a leading platform for Perception Algorithm development. As an Embedded Machine Learning Engineer, you’ll deploy efficient, low‑power ML models directly onto embedded hardware, driving advanced, on‑device intelligent experiences for millions of users in robotics and intelligent systems.

Description

This role offers a unique opportunity to innovate at the intersection of AI and embedded hardware. You will transform advanced ML algorithms into highly optimized, power‑efficient code for custom silicon and microcontrollers in Apple products, specifically for robotics. You’ll tackle complex challenges like memory constraints, computational budgets, and real‑time performance, ensuring ML models deliver exceptional user experiences while adhering to Apple’s privacy and power efficiency standards.

Responsibilities
  • Design and implement efficient ML inference pipelines on resource‑constrained embedded hardware.
  • Optimize neural network models (e.g., quantization, pruning) for performance, memory, and power on edge devices.
  • Develop and integrate robust C/C++ low‑level software for deploying ML models on microcontrollers, DSPs, and ML accelerators.
  • Analyze and debug performance bottlenecks and power consumption across the hardware/software stack for ML workloads.
  • Collaborate with ML researchers, hardware engineers, and platform teams to deliver high‑quality, power‑efficient edge AI solutions.
  • Evaluate and recommend embedded platforms, toolchains, and ML frameworks for on‑device intelligence applications.
Minimum Qualifications
  • Bachelor’s degree (3+ years experience) or Master’s degree (2+ years experience) in CS, EE, or a related technical field.
  • Proficiency in C/C++ for embedded systems development, including RTOS, microcontrollers, and low‑level hardware interactions.
  • Proven ability to optimize and deploy ML models for resource‑constrained edge devices using techniques like quantization/pruning and frameworks (e.g., TensorFlow Lite, ONNX Runtime, Core ML).
  • Strong analytical and debugging skills to resolve performance bottlenecks across hardware, firmware, and ML inference.
Preferred Qualifications
  • Experience with ML inference hardware acceleration (DSPs, NPUs, ASICs). Familiarity with diverse neural network architectures and training methodologies for efficient edge deployment.
  • Knowledge of computer vision, NLP, or audio processing in an embedded/robotics context.
  • Experience with embedded Linux or other RTOS in a production environment.
  • Contributions to open‑source embedded ML projects or relevant publications.
  • Proficiency with Python for automation and data analysis.

Benefits include competitive base pay, Apple stock planning options, comprehensive medical and dental coverage, retirement benefits, and educational expense reimbursement.

Apple is an equal‑opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

We believe accessibility is a fundamental human right. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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