ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Portland, OR (NOW HIRING)

Workday

Sr Software Development Engineer

Beaverton, OR · On-site

$177K - $234K/yr

We are the Machine Learning Product team at Workday. Our focus is on the application of machine ... Using current programming language and technologies, writes code, completes programming, and ...

Pwc

US Tech - AI Engineering Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Aerotek

Machine Operator

Happy Valley, OR

$18 - $21.25/hr

Machine Operator Join a highly automated, state-of-the-art manufacturing team where you will help ... Engineering. You will have access to tuition reimbursement, online learning through LinkedIn ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time-series analysis and anomaly detection * Statistical modeling and ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Portland, OR

Machine Learning Engineer information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Portland, OR? The most popular types of Machine Learning Engineer jobs in Portland, OR are:
What are popular job titles related to Machine Learning Engineer jobs in Portland, OR? For Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Machine Learning Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Machine Learning Engineer jobs? Cities near Portland, OR with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.
Senior Middleware Development Engineer

Senior Middleware Development Engineer

Intel Corporation

Hillsboro, OR • On-site

$128K - $245K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers

Job description

Job Details:
Job Description:
Build the Future of High-Performance Computing
Join Intel's Communication Runtimes team and develop cutting-edge software that powers the world's most advanced supercomputers and AI systems. Work on communication libraries that enable breakthrough scientific discoveries and machine learning innovations at unprecedented scale.
What You'll Create - Next-Generation Communication Libraries
  • Design, develop, and maintain features and optimizations primarily focused on Intel SHMEM (Shared Memory Access) with potential to contribute to Intel MPI (Message Passing Interface), MPICH, and Intel oneCCL (Collective Communications Library)
  • Optimize software for exceptional performance: low latency, high bandwidth, and maximum reliability
  • Build expertise with cutting-edge Intel GPUs and CPUs powering today's data centers

Revolutionary Impact
  • Collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs
  • Make meaningful contributions that advance scientific computing and machine learning capabilities
  • Work across multiple levels of the communications stack to solve complex distributed computing challenges

Cross-Functional Excellence
  • Partner with cross-functional teams to define software requirements and technical specifications
  • Drive performance optimizations that push the boundaries of what's possible in high-performance computing
  • Contribute to software that enables breakthrough research in climate modeling, drug discovery, and AI

Essential Skills
  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving abilities
  • Excellent communication skills for technical collaboration
  • Passion for making meaningful impact in scientific computing

Qualifications:
Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or STEM-related field and 3+ years of relevant industry, internship, or research experience
  • 3+ years of C and C++ programming experience
  • 3+ years of Linux development experience
  • Experience with multithreaded programming
  • Experience in one or more of the following:
    • Distributed computing systems
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (i.e., MPI, oneCCL/NCCL, SHMEM)
    • GPU software development
    • Network communications stack development

Preferred Qualifications
  • Post-graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM field
  • Performance Optimization: Experience developing optimizations that improve communications latency or throughput
  • Advanced Debugging: Experience troubleshooting complex issues across multiple hardware and software stack layers

Why This Role Matters
  • Scientific Impact: Your code will enable groundbreaking research and discoveries
  • AI Revolution: Power the next generation of machine learning and AI systems

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Texas, Austin
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

View All Intel Jobs

Apply