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Artificial Intelligence Machine Learning Engineer Jobs in Portland, OR

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you ... in deep learning, machine learning or other AI domains. * Work directly with other technical ...

Pwc

NGA AI Engineer Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Artificial Intelligence and Robotics preferred - Demonstrating exceptional team leadership ...

Pwc

NGA AI Engineer Senior Manager

Portland, OR

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Engineering, Artificial Intelligence and Robotics preferred - Crafting and conveying clear ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

... Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA ... Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in ...

PLEXSYS

Senior Software Engineer

Camas, WA · On-site

$134K - $177K/yr

A Senior Software Engineer (SSE) is responsible for designing, developing, and modifying corporate ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Portland, OR

Artificial Intelligence Machine Learning Engineer information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for artificial intelligence machine learning engineer in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Portland, OR? For Artificial Intelligence Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Portland, OR are:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.
Senior Developer Technology Engineer - AI

Senior Developer Technology Engineer - AI

Nvidia

Hillsboro, OR • Hybrid

$59.25 - $78.50/hr

Full-time

Re-posted 26 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.

  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).

  • You have 8+ years of relevant work experience or research.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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