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Differential Privacy Jobs in Michigan (NOW HIRING)

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

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 ...

Metro Detroit, MI (Warren area) Pay: $24-$32/hour + 17% shift differential plus a $3,000 sign on ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Welder

Iron Mountain, MI

$20.84 - $26.61/hr

Weekly pay * Competitive wages with shift differential * Overtime opportunities * Benefits ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Welder

Iron Mountain, MI · On-site

$20.84 - $26.61/hr

Weekly pay * Competitive wages with shift differential * Overtime opportunities * Benefits ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Welder

Iron Mountain, MI

$20.84 - $26.61/hr

Weekly pay * Competitive wages with shift differential * Overtime opportunities * Benefits ... To read our Candidate Privacy Information Statement, which explains how we will use your ...

Supervisor Coding

Lansing, MI · On-site

$48.54/hr

The displayed salary range does not reflect any geographic differential Highmark may apply for ... Privacy Act Employees, Contractors, and Applicants Notice Req ID: J284773

New

The disclosed range estimate has not been adjusted for the applicable geographic differential ... Privacy, and Security, to document business processes, goals, and program requirements Aligning ...

CNA/CENA

Holland, MI · On-site

$16.50 - $20/hr

Pay Range ✔ $16.50 - $20.00 + Shift Differential + Hero Pay Employment Type amp; Schedule ✔ 1st ... the comfort, privacy, and dignity of each resident in the delivery of services. ✔ Clean and ...

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Differential Privacy information

What are some common challenges faced by professionals working in differential privacy roles?

Professionals in differential privacy often encounter challenges balancing data utility with privacy guarantees, as stricter privacy controls can limit the usefulness of data for analysis. They also need to stay updated on evolving privacy regulations and technological advancements. Collaboration with data scientists, engineers, and legal teams is essential to ensure solutions meet both technical and compliance requirements. Additionally, translating complex mathematical concepts into practical, scalable systems that integrate smoothly with existing infrastructure can be a significant hurdle.

What is differential privacy?

Differential privacy is a mathematical framework used to ensure that individual data remains private when analyzing and sharing aggregate information from a dataset. It introduces controlled random noise to the results of queries or computations, making it difficult to determine whether any specific individual's data is included. This helps organizations gain insights from data while providing strong privacy guarantees for individuals, even against attackers with access to other information. Differential privacy is widely used in fields such as statistics, machine learning, and data publishing.

What is the difference between Differential Privacy vs Data Scientist?

AspectDifferential PrivacyData Scientist
Primary FocusProtecting individual data privacy in datasetsAnalyzing and interpreting complex data to inform business decisions
Required SkillsMathematics, privacy algorithms, data securityStatistics, programming, data visualization
Work EnvironmentResearch labs, tech companies, privacy-focused organizationsBusiness, tech firms, consulting
CertificationsPrivacy certifications, data security credentialsData science certifications, programming skills

While Differential Privacy focuses on implementing privacy-preserving techniques in data handling, Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their core objectives differ: one emphasizes privacy protection, the other data analysis.

What are the key skills and qualifications needed to thrive as a differential privacy engineer, and why are they important?

To thrive as a Differential Privacy Engineer, you need a strong background in mathematics, statistics, computer science, and experience with privacy-preserving algorithms, usually supported by an advanced degree. Familiarity with programming languages like Python or R, privacy frameworks (such as Google's DP library), and knowledge of data security regulations are typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex concepts to non-experts are crucial soft skills. These competencies are vital to designing robust privacy solutions that protect user data while enabling meaningful data analysis.
What are popular job titles related to Differential Privacy jobs in Michigan? For Differential Privacy jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Differential Privacy jobs in Michigan look for? The top searched job categories for Differential Privacy jobs in Michigan are:
What cities in Michigan are hiring for Differential Privacy jobs? Cities in Michigan with the most Differential Privacy job openings:
Infographic showing various Differential Privacy job openings in Michigan as of July 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% In-person job distribution.

$80K - $105K/yr

Full-time

Posted 4 days ago


Job description

AI 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: AI Security Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$105,000 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.
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 hilda@bvteck.com. 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.