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Machine Learning Intern Jobs in Oregon (NOW HIRING)

eNett

OR · On-site

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning ...

WEX

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning ...

Glydways

OR

We are looking for a highly motivated research intern with a strong background in machine learning to join our ML Perception team and apply your expertise to real-world multi agent autonomous driving ...

Cotiviti

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Intel

AI Software Engineering Intern

Hillsboro, OR

... machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI ...

Cotiviti

$32 - $40/hr

Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ... Intern Employment Type: OTHER

Coop Shared Services, LLC

Ag Intern

Mcminnville, OR · On-site

$15.25 - $20.50/hr

A person in this position will support the Agronomy location and learning agronomy job skills. The Agronomy Intern will gain valuable experience within the agronomy field. An internship will provide ...

Sulzer AG

Engineering Intern

Portland, OR

$17.75 - $23/hr

This role follows specific instructions and procedures and is designed to provide learning ... Experience with 2D and 3D CAD systems An Interest in rotating machinery and manufacturing is ...

CoorsTek

Engineering Intern

Hillsboro, OR · On-site

$18.25 - $23.75/hr

... makes learning fun and engaging. Join us to build your skills, grow your career, and be part of a ... Familiarity with CNC machining, grinding, lathe equipment and/or manufacturing automation is a plus.

Fellowship of Christian Athletes

Intern

Eugene, OR · On-site

$15 - $20/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Oregon

Machine Learning Intern information

See Oregon salary details

$27K

$45K

$93K

How much do machine learning intern jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning intern in Oregon is $45,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,600.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Machine Learning Intern jobs in Oregon? For Machine Learning Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Oregon look for? The top searched job categories for Machine Learning Intern jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Intern jobs? Cities in Oregon with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

PhD Intern - AI/ML/NLP Engineer

eNett

On-site

$35 - $43/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About the team:

We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions. We are building groundbreaking products that benefit our customers and help them grow their businesses. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

How you'll make an impact:

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world problems. You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value.

This is a project-based internship. You will be paired with a dedicated mentor and given a high-impact project to own, from research and design through to a functional prototype; you'll:

  • Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.

  • Apply your research skills to design, code, and test novel AI/ML solutions.

  • Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.

  • Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.

  • Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).

  • Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

Experience you'll bring:

  • Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.

  • Demonstrated research experience in AI, Machine Learning, Deep Learning, or Generative AI (e.g., publications, conference papers, or significant project work).

  • Strong programming skills in at least one of our core languages: Python, Java, C#, or GoLang.

  • Deep understanding of modern ML algorithms, platforms, and packages (including deep learning and LLMs).

  • Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation).

  • A collaborative mindset and strong communication skills, with an ability to translate complex research into practical applications.

  • Evidence of innovative problem-solving and a drive to learn and excel.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS).

  • Familiarity with software development best practices (SDLC), CI/CD tools, and IaC (e.g., Terraform).

  • Familiarity with container orchestration (e.g., Kubernetes).

  • Experience or interest in the financial technology (FinTech) industry.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $35.00 - $43.00

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