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Remote Injection Molding Process Engineer Jobs in Buckeye, AZ

Wood Plc

Distribution Engineer (remote)

Phoenix, AZ · On-site +1

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

KBR

Remote Special Process Auditor

Phoenix, AZ · Remote

Remote Special Process Auditor Belong, Connect, Grow, with KBR! Program Summary Remote Special ... Bachelor's Degree in Engineering, Business or Technical discipline preferred with applicable ...

KBR

Remote Special Process Auditor

Phoenix, AZ · Remote

Remote Special Process Auditor Belong, Connect, Grow, with KBR! Program Summary Remote Special ... Bachelor's Degree in Engineering, Business or Technical discipline preferred with applicable ...

USAA

Business Process Owner Intermediate - Bank

Phoenix, AZ · On-site +1

$62K - $111K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... engineering/optimization. * Working experience in process mapping, modeling and/or process ...

New

USAA

Business Process Owner Intermediate - Bank

Phoenix, AZ · On-site +1

$62K - $111K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... engineering/optimization. * Working experience in process mapping, modeling and/or process ...

New

Olsson

Geotechnical Engineer - Remote

Phoenix, AZ · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... You will also process design calculations, generate technical report documents, develop project ...

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All JobsInjection Molding Process Engineer JobsRemote Injection Molding Process Engineer JobsRemote Injection Molding Process Engineer Jobs in Buckeye, AZ

Remote Injection Molding Process Engineer information

See Buckeye, AZ salary details

$48.3K

$89.8K

$139.1K

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

As of Aug 8, 2026, the average yearly pay for remote injection molding process engineer in Buckeye, AZ is $89,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $100,600.00 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 popular job titles related to Remote Injection Molding Process Engineer jobs in Buckeye, AZ? For Remote Injection Molding Process Engineer jobs in Buckeye, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Injection Molding Process Engineer jobs in Buckeye, AZ look for? The top searched job categories for Remote Injection Molding Process Engineer jobs in Buckeye, AZ are:
What cities near Buckeye, AZ are hiring for Remote Injection Molding Process Engineer jobs? Cities near Buckeye, AZ with the most Remote Injection Molding Process Engineer job openings:
Remote Injection Molding Process Engineer jobs near you
Infographic showing various Remote Injection Molding Process Engineer job openings in Buckeye, AZ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $89,843 per year, or $43.2 per hour.

ML Security Engineer

Bright Vision Technologies

Phoenix, AZ • Remote

$100K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

ML Security Engineer- Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Security Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
Key Responsibilities 
  • Define and implement security controls specifically targeting LLM and AI-powered application risks. 
  • Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. 
  • Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. 
  • Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. 
  • Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. 
  • Design controls for sensitive data handling, retention, and redaction in LLM workflows. 
  • Lead red-team exercises against AI systems and drive remediation of identified weaknesses. 
  • Evaluate and harden third-party AI services and open-source AI components used internally. 
  • Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. 
  • Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. 
  • Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. 
  • Develop monitoring, logging, and detection strategies tailored to AI workloads. 
  • Lead incident response for AI-specific security events and drive durable improvements. 
  • Stay current with adversarial ML, LLM security research, and emerging regulatory developments. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. 
  • Six or more years of security engineering experience, including significant work on AI or ML systems. 
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes. 
  • Hands-on experience designing security controls for AI-powered applications. 
  • Deep knowledge of application security, identity, and cryptography fundamentals. 
  • Experience with threat modeling and security architecture review processes. 
  • Familiarity with adversarial ML, prompt injection, and model abuse research. 
  • Proficiency in Python and at least one systems language. 
  • Strong understanding of cloud security and modern infrastructure controls. 
  • Excellent written and verbal communication skills. 
Preferred Qualifications 
  • Publications, talks, or CTF participation in AI security topics. 
  • Experience with red-teaming LLM-based products. 
  • Familiarity with privacy-preserving ML techniques such as differential privacy. 
  • Exposure to regulated industries with strict data handling requirements. 
  • Open-source contributions to AI security tooling
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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