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Senior Embedded Machine Learning Jobs in Portland, OR

Novolex

Senior Machine Operator

Vancouver, WA

$24.90 - $25.90/hr

Senior Machine Operator Vancouver, WA Compensation Includes * Starting Pay Rate of $24.90 - 25.90 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Senior Machine Operator

Vancouver, WA · On-site

$24.90 - $25.90/hr

Senior Machine Operator Vancouver, WA Compensation Includes * Starting Pay Rate of $24.90 - 25.90 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Senior Machine Operator

Vancouver, WA · On-site

$24.90 - $25.90/hr

Senior Machine Operator Vancouver, WA Compensation Includes * Starting Pay Rate of $24.90 - 25.90 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Storm Machine learning framework Statistical analysis with Python, R or similar Additional ...

Apple Inc.

SerDes Micro Architect

Beaverton, OR · On-site

Familiarity with Machine Learning concepts. * Experience in firmware or embedded software development is a plus. Apple is an equal opportunity employer that is committed to inclusion and diversity.

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Machine learning framework • Statistical analysis with Python, R or similar Additional ...

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can ... Experience with verification of SoCs with embedded processors or CPU verification. #LI-Hybrid Your ...

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can ... Experience with verification of SoCs with embedded processors or CPU verification. #LI-Hybrid Your ...

Pwc

AI Solutions Engineering Delivery Lead

Portland, OR

$108K - $143K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Portland, OR

Senior Embedded Machine Learning information

See Portland, OR salary details

$80.1K

$153.5K

$205.2K

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

As of Sep 11, 2026, the average yearly pay for senior embedded machine learning in Portland, OR is $153,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $172,300.00 per year, depending on experience, location, and employer.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

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:

Senior Embedded Machine Learning jobs near you

SerDes Micro Architect

Beaverton, OR • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Analog Mixed-Signal (AMS) Team is seeking a self-motivated SERDES Micro Architect to drive the definition of our next generation IPs. The SERDES IPs will be used in Apple silicon offering breakthrough power and performance for iPhone, iPad, Mac, and Apple Watch.
Description
You will define the Micro Architecture of analog mixed-signal IPs with emphasis on SERDES design. You will review firmware code, analog and digital circuits and will verify that the design meets performance requirements. You will work with silicon evaluation and design verification teams to define expected behavior. You would lead the debug effort in system bring up and factory test. You will work with signal integrity engineers to determine system requirements.
Minimum Qualifications
BS degree in technical discipline with minimum 10 years of relevant experience.
Preferred Qualifications
Experience leading the definition of high-speed SERDES receiver, transmitter, and clocking blocks
Deep understanding of adaptation and optimization algorithms
Deep understanding of communications and information theory
Proficiency in equalizers, timing recovery and system identification
Proficiency in DSP concepts and applications
Familiarity with mixed-signal modeling in Python/MATLAB/C/C++
Experience in system design and performance tradeoff
Familiarity with simulation tools for analog, digital, and/ or mixed-signal circuits
Familiarity with Machine Learning concepts
Experience in firmware or embedded software development is a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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