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Machine Learning Engineer Intern Jobs in Oregon (NOW HIRING)

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are ...

Cresta

OR

$104.40K - $143.40K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will ...

Nextdoor

OR

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

phData

OR

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...

Instacart

OR

$104.40K - $143.40K/yr

We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation. In this role, you will define the technical vision for how machine learning powers the Instacart shopping ...

phData

OR

We are looking for a Sr. Machine Learning Architect to join our Machine Learning team. In this role ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... Engineering, Mathematics, or a related field. * 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI ...

AcuityMD

OR · On-site

$122.40K - $161.30K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

About the role As a Principal Machine Learning Engineer on the Agentic Artificial Intelligence team, you will get to: * Develop large-scale, fault-tolerant multimodal agentic experiences that reach ...

Netflix

OR · On-site

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

Netflix

OR · On-site

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

Zillow

Machine Learning Engineer, Agentic AI

OR · On-site +1

$145.50K - $232.50K/yr

About the role Zillow is seeking a Machine Learning Engineer to join the Applied Reasoning team within the Agentic AI organization . In this role, you will design, build, and productionize domain ...

Nextdoor

OR

$170K - $334K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

Netflix

OR · On-site

$523K - $920K/yr

The Localization Data Science and Engineering team is at the forefront of removing language ... We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ...

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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 Jun 1, 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:
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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.

Adversarial Machine Learning Engineer

C-Serv

Portland, OR

Other

Medical, Life

Posted 14 days ago

Job description

The Opportunity

We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products.

We are looking for an adversarial machine learning specialist who thinks like an attacker.

This role focuses on identifying vulnerabilities in LLM-driven systems, breaking model guardrails, exploiting data pathways, and stress-testing AI deployments before they reach enterprise customers.

This is a hands-on technical role at the core of AI security.

What You’ll Do
  • Conduct adversarial testing across LLM and AI-based systems
  • Execute real-world attack simulations, including:
  • Prompt injection
  • Jailbreaking and guardrail bypass
  • Data exfiltration attempts
  • Model inversion and evasion techniques
  • RAG manipulation
  • Develop scripts and tooling to automate attack scenarios
  • Analyse model behaviour under adversarial pressure
  • Identify systemic vulnerabilities in:
  • APIs
  • Embedding pipelines
  • Vector databases
  • Fine-tuned model implementations
  • Collaborate with engineering teams to validate remediation
  • Document findings clearly and concisely

You will help ensure AI systems are resilient before they are deployed at scale.

Requirements

What We’re Looking For Core Technical Skills
  • Strong experience in adversarial ML or AI security research
  • Experience working with LLM-based systems (OpenAI, Anthropic, open-source models, etc.)
  • Deep understanding of:
  • Prompt injection techniques
  • Model jailbreak methodologies
  • AI system exploitation vectors
  • Strong Python skills
  • Experience building custom attack tooling or experimentation frameworks
AI Systems Knowledge
  • Familiarity with:
    • RAG architectures
    • Vector databases
    • Model fine-tuning workflows
    • API-based model deployments
    • Understanding of model safety mechanisms and guardrails
Nice to Have
  • Background in cybersecurity or penetration testing
  • Familiarity with OWASP LLM Top 10
  • Experience working in enterprise environments
Who You Are
  • Curious and relentless
  • Comfortable thinking like an attacker
  • Creative in finding non-obvious vulnerabilities
  • Detail-oriented but fast-moving
  • Comfortable operating in ambiguity
  • Independent but collaborative

You don’t just run test cases — you design new ones.

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package

Apply