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Edge Ai Machine Learning Jobs in Portland, OR (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges. * Drive adoption of AI technologies across MDCE ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Intel

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

Small, efficient models run directly on the user's machine (AI PC, edge, on-prem, and beyond ... Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ...

Cambia Health Solutions

AI Scientist Senior II

Portland, OR · On-site

$150 - $190/hr

Lead the adoption of advanced generative AI, machine learning, and deep learning techniques, integrating them into scalable production pipelines. * Partner with stakeholders to identify high‑impact ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$110K - $152K/yr

... edge AI, and renewable energy. Key responsibilities: * Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications * Leverage advanced ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Portland, OR

Edge Ai Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do edge ai machine learning jobs pay per year?

As of Aug 27, 2026, the average yearly pay for edge ai machine learning 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 Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Portland, OR?

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

What are popular job titles related to Edge Ai Machine Learning jobs in Portland, OR?

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

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

The top searched job categories for Edge Ai Machine Learning jobs in Portland, OR are:

What cities near Portland, OR are hiring for Edge Ai Machine Learning jobs?

Cities near Portland, OR with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

AI & Machine Learning Developer

Vancouver, WA

Johnson Health Tech North America Inc
Wholesale • 1 - 5K employees

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

154th of 495 rated machine equipment manufacturers

Good employer

Paid breaks

Respectful managers

Learn more about Johnson Health Tech North America Incexternal

$99K - $119K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Description


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

Research, design, and implement AI/ML solutions for mobile fitness applications.

Develop and fine-tune LLMs for natural language interactions and personalization.

Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

Collaborate with Android developers to integrate AI features into client-side applications.

Create prototypes and proof-of-concepts for new AI-driven features.

Stay current with emerging AI/ML technologies and best practices.

Ensure compliance with data privacy and security standards.

Requirements


Education: 

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


Experience:

3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

Hands-on experience with AWS services for AI/ML deployment.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

Health & Dental Insurance

Company paid Life Insurance

401(k)

Paid Time Off benefits

Product discounts

Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities 

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