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Remote Injection Molding Process Engineer Jobs in Seattle, WA

Impinj

Sr. Process Integration Engineer

Seattle, WA · On-site +1

$113K - $160K/yr

Collaborate with silicon process engineers for process development; define experiments and test ... Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj ...

SNC-Lavalin

Process Mechanical Engineer - Power

Bothell, WA · On-site +1

$95K - $130K/yr

Overview We are seeking a Process Mechanical Engineer, Power experienced simple cycle and combined ... The preferred location is Bothell, WA with flexibility for hybrid or remote work arrangements. This ...

System One

System Design Engineer

Bellevue, WA · Remote

$102K - $140K/yr

Remote Schedule: 40 hours/week System One is seeking an experienced System Design Engineer to ... Design nuclear and industrial process systems and subsystems from concept through final design.

System One

System Design Engineer

Bellevue, WA · Remote

$102K - $140K/yr

Remote Schedule: 40 hours/week System One is seeking an experienced System Design Engineer to ... Design nuclear and industrial process systems and subsystems from concept through final design.

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All JobsInjection Molding Process Engineer JobsRemote Injection Molding Process Engineer JobsRemote Injection Molding Process Engineer Jobs in Seattle, WA

Remote Injection Molding Process Engineer information

See Seattle, WA salary details

$56.3K

$104.7K

$162.2K

How much do remote injection molding process engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote injection molding process engineer in Seattle, WA is $104,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $117,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Injection Molding Process Engineer vs Remote Manufacturing Engineer?

AspectRemote Injection Molding Process Engineer
Primary FocusDesign, optimize, and troubleshoot injection molding processes for plastic parts remotely
CertificationsPlastic injection molding certifications, process engineering credentials
Work EnvironmentManufacturing facilities, labs, or remote collaboration with on-site teams
Industry UsagePlastic manufacturing, automotive, consumer goods

Remote Injection Molding Process Engineers specialize in managing injection molding processes remotely, focusing on process optimization and troubleshooting. In contrast, Remote Manufacturing Engineers have a broader scope, overseeing various manufacturing processes. Both roles require similar certifications and often work in related industries, but their core responsibilities differ in process specialization versus overall manufacturing management.

What are the most commonly searched types of Injection Molding Process Engineer jobs in Seattle, WA? The most popular types of Injection Molding Process Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Injection Molding Process Engineer jobs in Seattle, WA? For Remote Injection Molding Process Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Injection Molding Process Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Injection Molding Process Engineer jobs in Seattle, WA are:
Remote Injection Molding Process Engineer jobs near you
Infographic showing various Remote Injection Molding Process Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,719 per year, or $50.3 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Seattle, WA • Remote

$50 - $90/hr

Part-time

Posted 14 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.

Apply