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Artificial Intelligence Fairness Jobs (NOW HIRING)

Sr Software Engineer II

$125K - $165K/yr

You'll also influence how Pax8 approaches artificial intelligence-assisted engineering at scale. Your judgement will help teams move faster while protecting maintainability, privacy, fairness ...

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Artificial Intelligence Fairness information

What is artificial intelligence fairness?

Artificial intelligence (AI) fairness refers to the practice of ensuring that AI systems operate in a way that is unbiased and equitable to all users, regardless of factors such as race, gender, age, or socioeconomic status. This involves identifying and mitigating any unintended biases in data, algorithms, and outcomes. The goal is to create AI models that make decisions transparently and do not discriminate against any group. AI fairness is an important aspect of ethical AI development, as unfair AI systems can perpetuate or amplify existing social inequalities.

What are the key skills and qualifications needed to thrive in artificial intelligence fairness?

To excel in Artificial Intelligence Fairness, you need a strong background in computer science, data analysis, and ethics, often coupled with an advanced degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), statistical analysis tools, and fairness auditing libraries is essential, along with knowledge of relevant regulations and guidelines. Critical thinking, effective communication, and a collaborative mindset help professionals navigate complex ethical dilemmas and work with multidisciplinary teams. These skills and qualities are crucial to developing responsible AI systems that minimize bias, ensure compliance, and foster trust among users.

What are some common challenges faced by professionals working in artificial intelligence fairness, and how can they address them?

Professionals in Artificial Intelligence Fairness often encounter challenges such as identifying and mitigating bias in data, ensuring transparency in complex models, and balancing ethical considerations with business objectives. Addressing these issues typically requires close collaboration with data scientists, ethicists, engineers, and stakeholders to perform regular bias audits, implement fairness metrics, and communicate findings clearly. Staying updated on evolving regulations and best practices in AI ethics is also crucial for success in this role.

What is the difference between Artificial Intelligence Fairness vs Data Scientist?

AspectArtificial Intelligence FairnessData Scientist
Required CredentialsRelevant degrees in AI, ethics, or related fields; certifications in AI fairness or ethicsDegrees in computer science, statistics, or data analysis; certifications in data science or analytics
Work EnvironmentResearch labs, tech companies, or organizations focusing on ethical AI developmentData analysis teams, research departments, or consulting firms across industries
Employer & Industry UsagePrimarily in AI development, machine learning, and ethical oversightAcross industries for data analysis, modeling, and insights generation

Artificial Intelligence Fairness specialists focus on ensuring AI systems are unbiased and ethically sound, often working on fairness metrics and bias mitigation. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles require technical skills, AI Fairness professionals emphasize ethical considerations and bias reduction in AI, whereas Data Scientists focus on data analysis and modeling across various applications.

What other helpful pages are available for Artificial Intelligence Fairness?

Other pages related to Artificial Intelligence Fairness:

Infographic showing various Artificial Intelligence Fairness job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Artificial Intelligence / Machine Learning Engineer

Huntsville, AL • On-site

DESE Research, Inc.
51 - 200 employees

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.Core Responsibilities:Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.Minimum Requirements: Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in Python and at least one additional language (Java, C++).Strong understanding of data structures, data modeling, and software architecture.Highlighted Skills & Experience: Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.Why This Role Matters:You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.About DESEFor the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.Why employees love working for DESE:At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:Competitive health, dental and vision insurance with affordable premiumsFlexible work schedulesTwo different flexible spending account optionsCompany paid life insurance with options for employee paid additionalPerformance bonus programEducation reimbursement programCompany paid personal leave for approved philanthropic activitiesVacation, Sick & Holiday leaveRobust 401k profit sharing planOpportunities for internal promotionsEmployee referral incentive programRewards and gifts for service anniversariesDisability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.
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