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Internship Machine Learning Jobs in Portland, OR

Intel

Yield Development Engineer

Hillsboro, OR

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

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All JobsMachine Learning JobsInternship Machine Learning JobsInternship Machine Learning Jobs in Portland, OR

Internship Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do internship machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for internship 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 internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

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

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

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

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

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

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

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

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

Internship Machine Learning jobs near you

Senior Middleware Software Development Engineer

Hillsboro, OR • On-site

Intel Corporation
Manufacturing • 10K+ employees
Learn more about Intel Corporationexternal

$133K - $175K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

Job description

Job Details:
Job Description:
Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library).
This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities.
Key Responsibilities
  • Communication Library Development
  • Design, develop, and maintain advanced features and performance optimizations for oneCCL.
  • Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability
  • Implement and enhance communication protocols across multiple layers of the communications stack

Cross-Functional Collaboration and Requirements
  • Collaborate with cross-functional teams to define software requirements and technical specifications
  • Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations
  • Partner with hardware teams to optimize software-hardware integration for maximum performance

Performance Optimization and Analysis
  • Develop performance optimizations that improve communication latency and throughput
  • Conduct comprehensive performance analysis and benchmarking across different system configurations
  • Debug complex problems spanning multiple layers of hardware and software stack

What You'll Work On
  • Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's most advanced supercomputers
  • Cutting-Edge Hardware: Latest Intel GPUs and CPUs designed for data center and HPC applications
  • Impact: Meaningful contributions to scientific computing breakthroughs and machine learning advancement
  • Innovation: Development of next-generation communication libraries and optimization techniques

Core Competencies
  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving skills
  • Excellent communication skills for technical collaboration
  • Understanding of multiple levels of communications stack architecture

Qualifications:
The Minimum qualifications are required to be initially considered for this position. 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
  • Master's degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • 3+ years of software development experience
  • 3+ years of Linux environment development experience
  • 3+ years of C and C++ programming experience
  • Experience with multithreaded programming and parallel computing concepts
  • Specialized Experience (At least one required)
    • Distributed computing systems and architectures
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (MPI, oneCCL/NCCL, or SHMEM)
    • GPU software development and optimization
    • Network communications stack development (one or more layers)

Preferred Qualifications
  • Ph.D. degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • Experience developing performance optimizations that measurably improve communications latency or throughput
  • Experience debugging complex problems across different layers of hardware and software stack
  • Deep understanding of high-performance computing architectures and optimization techniques
  • Experience with Intel GPU and CPU architectures and their optimization characteristics
  • Knowledge of supercomputing environments and large-scale distributed systems
  • Familiarity with scientific computing and machine learning communication patterns

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Texas, Austin
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

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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

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