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Remote Machine Learning Ops Engineer Jobs in Oregon

Senior DevOps Engineer

OR · Remote

$120K - $170K/yr

Design and deliver self-service infrastructure tooling that enables Ops and Support teams to ... As a remote-first company, Unqork incorporates a geographic differential into our compensation ...

Work with a world class team of engineers who are strong in both machine learning and software ... Location: Liftoff follows a philosophy of "remote first, come together meaningfully" and allows ...

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Software Engineer, Home Lending

OR · On-site +1

$122K - $161K/yr

... and Machine Learning, Servicing, and Operations. How you'll make an impact Build and improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Our Team The Ad Supply & Decisioning team within the Ads Data Science and Engineering (DSE ... We are looking for a Machine Learning Scientist 6 to serve as a vertical technical lead across our ...

Our Team The Ad Supply & Decisioning team within the Ads Data Science and Engineering (DSE ... We are looking for a Machine Learning Scientist 6 to serve as a vertical technical lead across our ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in ...

Lead Forward Deployed Engineer (FDE)

OR · On-site +1

$102K - $134K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident required LTS is seeking a ... AI, machine learning, and other emerging AI technologies. * Guide the design of scalable data ...

Marketing & AI Ops Manager

OR · Remote

$115K - $145K/yr

... engineering. If your instinct is to fix a broken process rather than document a ticket when you ... BigBenefits Remote-first with a global community Global Culture Corner Flexible PTO + Quarterly ...

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... AI, machine learning, and other emerging AI technologies where appropriate. * Design secure ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

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Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Portland, OR • Remote

$50 - $90/hr

Part-time

Posted 11 days ago


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.