ML Security Engineer

Bright Vision Technologies; Kirkland (WA); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced ML Security Engineer for a 100% remote role in the United States. The engineer will lead the design and implementation of security controls for AI/ML systems, focusing on LLM risks, data integrity, and supply chain security.

The role requires 6+ years of security engineering experience with AI/ML, and a strong background in Python and cloud security. Candidates should be proficient in threat modeling and defense design for AI-powered

Qualifications

• Experience securing AI-powered applications and ML systems.
• Strong understanding of LLM internals and AI architectures.
• Hands-on with threat modeling and security reviews.
• Proficient in Python and at least one systems language.
• Strong cloud security and infrastructure controls knowledge.
• Excellent written and verbal communication.

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.

Skills

LLM security

Threat modeling

Python

Security architecture

Cloud security

Adversarial ML

Education

Bachelor's or Master's in CS or related

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 CardHolders, EADHolders, 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 anAI Security Engineerto 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 orMaster’s degree in Computer Science, Cybersecurity, ora relateddiscipline.


• 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.


• Proficiencyin 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

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.