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Machine Learning Software Engineer Jobs in Portland, OR

... machine learning insights into production workflows. Candidates must possess a Master's degree and ... Software Engineer to support and modernize enterprise PLM platforms for retail and apparel. The ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning models to support prediction and optimization use cases; operationalize machine learning models as scalable APIs or batch inference services; implement and maintain CI/CD pipelines ...

Design, develop, and enhance software tools and automation solutions that support engineering ... Experience with machine learning systems, including model training, evaluation, inference, and use ...

Software Engineer II

Beaverton, OR · On-site

$101K - $138K/yr

Software Engineer II, Design Engineering - Nike WHO YOU WILL WORK WITH The Consumer Product ... Experience with implementing and integrating AI, Machine Learning and related data solutions a plus

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Machine Learning Software Engineer information

See Portland, OR salary details

$67.3K

$156.4K

$217.9K

How much do machine learning software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning software engineer in Portland, OR is $156,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $183,500.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

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

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

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

The most popular types of Machine Learning Software Engineer jobs in Portland, OR are:

What are popular job titles related to Machine Learning Software Engineer jobs in Portland, OR?

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

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

The top searched job categories for Machine Learning Software Engineer jobs in Portland, OR are:

Infographic showing various Machine Learning Software Engineer job openings in Portland, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $156,450 per year, or $75.2 per hour.

Senior Deep Learning Software Engineer, DLSim

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$133K - $175K/yr

Full-time

Posted 16 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

The DL Performance Modeling Team's core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software

We are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.

What you'll be doing:

  • Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.

  • Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.

  • Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.

  • Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.

What we need to see:

  • A Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.

  • 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.

  • Strong hands-on experience with MLIR and compiler infrastructure.

  • Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.

  • Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.

Ways to stand out from the crowd:

  • Experience designing and building compiler frameworks or intermediate representations from the ground up.

  • Deep understanding of LLM inference workloads and their implications for computer architecture.

  • Hands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.

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. If you're creative, collaborative and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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