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Ai Researcher In Ethics Jobs in Delaware (NOW HIRING)

Athena LLC

Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field. Benefits * You will be mentored by Athena's AI and ...

Athenago

AI Engineering Intern

Wilmington, DE · On-site

Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field. Benefits * You will be mentored by Athena's AI and ...

Fox Rothschild

KM Research Analyst

Wilmington, DE

Minimum of three years of legal and business research experience in a legal, corporate or professional services environment. * Experience using AI tools a plus. Knowledge, Skills, & Abilities:

Cengage Group

AI/ML Engineer - Higher Ed

Wilmington, DE · On-site

Strong communication skills to work with product, design, and research partners Preferred Qualifications * Experience in EdTech or adjacent domains with production education AI features * Familiarity ...

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What are the key skills and qualifications needed to thrive as an AI Researcher in Ethics, and why are they important?

To thrive as an AI Researcher in Ethics, you need a strong background in computer science, philosophy, or related fields, often supported by advanced degrees and a solid understanding of both AI technologies and ethical frameworks. Familiarity with programming languages (like Python), machine learning libraries, and ethical AI assessment tools is typically required. Outstanding analytical thinking, communication skills, and interdisciplinary collaboration make someone stand out in this position. These skills and qualities are crucial to ensure the responsible development and deployment of AI systems that align with societal values and mitigate potential harms.

What are some common challenges faced by AI Researchers in Ethics when collaborating with technical development teams?

AI Researchers in Ethics often encounter challenges when bridging the gap between ethical considerations and technical implementation. One common issue is translating broad ethical principles into specific, actionable guidelines that developers can apply to algorithms and data practices. Additionally, balancing innovation with responsible AI use requires ongoing dialogue, as priorities may differ between ethics and engineering teams. Effective communication and interdisciplinary collaboration are key to ensuring that ethical standards are integrated throughout the AI development lifecycle.

What are AI researchers in ethics?

AI researchers in ethics are professionals who study and address the ethical implications of artificial intelligence technologies. They analyze how AI impacts society, including issues like bias, privacy, transparency, and accountability. Their work involves developing guidelines, frameworks, and recommendations to ensure responsible AI development and deployment. These researchers often collaborate with technologists, policymakers, and organizations to promote fairness and prevent harm. Their goal is to make sure AI systems benefit society while minimizing potential risks.

What is the difference between Ai Researcher In Ethics vs Ai Researcher In Fairness?

AspectAi Researcher In EthicsAi Researcher In Fairness
Required CredentialsAdvanced degrees in AI, ethics, philosophy, or related fieldsAdvanced degrees in AI, machine learning, data science, or related fields
Work EnvironmentResearch labs, academia, industry ethics teamsTech companies, research institutions, industry teams
Industry UsageFocus on ethical implications, societal impact, policyFocus on algorithmic bias, equitable outcomes, fairness metrics
Common Search IntentUnderstanding ethical considerations in AI developmentAddressing bias and fairness in AI systems

While both roles involve AI research, Ai Researcher In Ethics emphasizes ethical principles, societal impact, and policy considerations. In contrast, Ai Researcher In Fairness concentrates on reducing bias and ensuring equitable outcomes in AI systems. Both roles often collaborate but focus on different aspects of responsible AI development.

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Ai Researcher In Ethics jobs near you
Research Software Engineer, First State AI Institute

Research Software Engineer, First State AI Institute

University of Delaware

Newark, DE • On-site

$200.40K/yr

Full-time

Posted 12 days ago

University Of Delaware rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

485th of 528 rated colleges and universities

Job description

Research Software Engineer, First State AI Institute
Job no: 501974
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Information Technology, Full Time
Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.
Pay Grade:
Context of the job:
We are seeking a Research Software Engineer (RSE) to contribute to the development and implementation of AI models, research frameworks, and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.
The RSE will be part of the recently established UD's First State AI Institute (please check out the operational AI Center of Excellence https://sites.udel.edu/ai/ website to see some of the on-going activities) that aims to drive advancements in machine learning, deep learning, AI and data-driven intelligence. The Research Software Engineer will collaborate with interdisciplinary teams on campus to develop innovative AI solutions that have real-world impact.
The position includes benefits and competitive salary based on qualifications.
Responsibilities:
Software Development
  • Develop, optimize, and maintain software for AI research projects.
  • Collaborate with researchers to implement state-of-the-art machine learning models.
  • Work with large-scale datasets, designing efficient data processing pipelines.
  • Support the deployment and scaling of AI models for real-world applications.
  • Contribute to open-source AI projects and research publications.
  • Stay up to date with the latest advancements in AI and machine learning.
  • Be an advocate to maintain and improve computing infrastructure for code development
  • Create comprehensive documentation of any software developed
  • Complete user manuals for knowledge transfer, and ensure smooth handover with clear communication at the conclusion of the RSE software development

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of Python experience with ML libraries (TensorFlow, PyTorch, scikit-learn), including optimization and deployment in production environments.
  • Strong grasp of AI/ML fundamentals including advanced concepts in model architectures, hyperparameter tuning, and real-world problem-solving
  • Proficiency in software development best practices (version control, testing, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment.
  • Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters.
  • Excellent verbal and written communication skills.

Preferred qualifications
  • Master's degree in a related field.
  • Experience with deep learning model training, evaluation, and distributed computing.
  • Contributions to AI research and open-source projects.
  • Strong collaboration skills across scientific disciplines.
  • Leadership or project management experience.
  • Ability to design and teach AI modules or training sessions.
  • Experience presenting research in publications, seminars, or conferences.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
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