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Machine Learning Engineer Associate Jobs in Oregon

OR

$122.40K - $161.30K/yr

... Engineering, Mathematics, or a related field. * 8+/7+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI ...

Principal Machine Learning Engineer, Agentic AI

OR ยท 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 ...

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 ...

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 ...

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 ...

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.

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 ...

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

OR ยท 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 ...

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Showing results 1-20

Machine Learning Engineer Associate information

See Oregon salary details

$43.9K

$87.4K

$139.6K

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

As of May 30, 2026, the average yearly pay for machine learning engineer associate in Oregon is $87,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $100,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

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

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
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 Associate jobs in Oregon? For Machine Learning Engineer Associate jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Machine Learning Engineer Associate jobs? Cities in Oregon with the most Machine Learning Engineer Associate job openings:

Adversarial Machine Learning Engineer

C-Serv

Portland, OR โ€ข On-site

Full-time

Medical, Life

Posted 5 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 Youโ€™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 Weโ€™re Looking ForCore 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 donโ€™t just run test cases โ€” you design new ones.

Benefits

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