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Machine Learning Engineer Intern Jobs in Oregon (NOW HIRING)

SentinelOne

OR · On-site

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.

SentinelOne

OR · On-site

We value curiosity, experimentation, and a commitment to continuous learning. What will you do? As an AI Software Engineering Intern, you will own an end-to-end project from idea to functioning ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering ...

Instacart

OR · On-site

Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning, algorithms, or optimization * Curious, self-motivated, and comfortable working on open-ended ...

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

Quantiphi, Inc.

OR

$114.40K - $137.40K/yr

Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights:

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

Upstart

OR

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Workiva, Inc.

Staff Machine Learning Engineer

OR · On-site +1

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

Instacart

OR · On-site

You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

Jumio

Data Intern

OR · Remote

$23/hr

Machine Learning Engineer Location: Remote Role Purpose: The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, as well as ...

Automation Anywhere, Inc.

OR

Automation Anywhere, the leader in Agentic Process Automation (APA), is seeking a Staff Machine Learning Engineer to help power the next generation of AI-driven digital agents transforming enterprise ...

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Machine Learning Engineer Intern information

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$27K

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

As of May 31, 2026, the average yearly pay for machine learning engineer 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 is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Oregon? The most popular types of Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Oregon? For Machine Learning Engineer Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Oregon look for? The top searched job categories for Machine Learning Engineer Intern jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Engineer Intern jobs? Cities in Oregon with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Oregon as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $45,023 per year, or $21.6 per hour.
AI/Machine Learning Engineer Intern

AI/Machine Learning Engineer Intern

SentinelOne

On-site

Other

Posted yesterday

Job description

As an AI/Machine Learning Engineer Intern, you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment. You will own an end-to-end project from initial idea to a functioning prototype with a clear path to production. Throughout the internship, you will collaborate with research teams and senior engineers to transform loosely defined AI use cases into concrete, production-ready systems.

What Will You Do?

Primary responsibilities include:

  • Develop Backend Services: Design and build services in Python that power AI-driven products and shared capabilities.
  • Integrate Systems: Build resilient service integrations across internal systems, specifically handling complex failure modes and rate limits.
  • Build AI Features: Develop and evolve LLM-backed features and agentic workflows, focusing on reliability and real-world behavior.
  • Shape AI Quality: Help build or extend evaluation harnesses, benchmarks, and feedback loops to ensure the high performance of AI-powered features.
  • Engage in Sprints: Work at a high velocity in two-week sprints and participate in weekly meetups to share technical progress and solve challenges.
What Skills and Knowledge Will You Bring?

Ideal candidates will have:

  • Advanced Academic Background: Currently enrolled in a program in Computer Science, Software Engineering, or a related quantitative field (graduating in 2027).
  • Python Proficiency: Excellent modern Python engineering skills with the ability to write readable, performant, and testable code.
  • AI Fundamentals: A strong background in AI/ML and experience with independent projects using LLMs, foundation models, or RAG.
  • System Design: A solid understanding of software engineering principles, including APIs, version control, and system architecture.
  • Cybersecurity Interest: A genuine curiosity about applying AI to cybersecurity or hands-on experience in the domain.
Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

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