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Generative Ai Testing Jobs in Delaware (NOW HIRING)

Systems Engineer

Newark, DE · On-site

$78K - $122K/yr

... testing, and troubleshooting. You will work alongside electrical, mechanical, and software ... as generative AI or automated writing assistance, during any stage of the interview process.

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Generative Ai Testing information

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Delaware?

For Generative Ai Testing jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Delaware look for?

The top searched job categories for Generative Ai Testing jobs in Delaware are:

What cities in Delaware are hiring for Generative Ai Testing jobs?

Cities in Delaware with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Systems Engineer

Hologic

Newark, DE • On-site

$78K - $122K/yr

Full-time

Re-posted 19 days ago


Hologic rating

8.0

Company rating: 8.0 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

179th of 495 rated machine equipment manufacturers


Job description


Hologic is seeking a Systems Engineer to join our Research and Development team in Newark, Delaware. In this role, you will contribute to the development of advanced medical imaging systems and electromechanical subsystems that help improve clinical outcomes. This position requires regular onsite presence in Newark, DE to collaborate closely with cross-functional engineering teams and support hands-on system integration, testing, and troubleshooting.
You will work alongside electrical, mechanical, and software engineers, scientists, and product owners to support the design, integration, verification, and validation of medical imaging technologies.
Key Responsibilities
  • Contribute to the specification, design, component selection, system integration, verification, and validation of medical imaging systems and electromechanical subsystems.
  • Develop an in-depth understanding of system architecture design and clinical use of medical imaging systems.
  • Propose system definitions and specifications to meet customer requirements and user needs.
  • Support concept development, specification, and design of new medical imaging products.
  • Implement new electromechanical designs and modifications within defined cost, schedule, and performance targets.
  • Maintain traceability between system requirements and subsystem requirements.
  • Maintain traceability between product requirements, identified risks, and mitigation strategies.
  • Perform hands-on troubleshooting at system and subsystem levels.
  • Support engineering teams and system quality assurance through concept, implementation, and verification phases.
  • Collaborate with design engineers to define test methods and conditions.
  • Complete design documentation and Engineering Change Orders in accordance with Hologic procedures and best practices.
  • Create project schedules, track progress, and report status or issues to management and project teams.
  • Support design transfer to manufacturing.
  • Establish collaborative relationships with stakeholders across the division.
  • Manage multiple projects concurrently under supervision.
  • Continue to build technical expertise and professional development, contributing to innovative problem-solving and product development.

Qualifications
Education
  • Bachelor's degree in Systems Engineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical discipline.

Experience
Preferred minimum:
  • 1-2 years of experience with a technical bachelor's degree, or
  • 0-2 years with a master's degree.

Skills and Knowledge
  • Understanding of systems engineering methodologies.
  • Experience with electromechanical design and embedded software development, ideally within the medical device field.
  • Experience with systems integration across electrical, mechanical, and software components.
  • Knowledge across multiple engineering disciplines.
  • Strong critical thinking, analytical, and problem-solving skills.
  • Familiarity with physical and mathematical modeling tools.
  • Knowledge of medical device regulations and standards, including: FDA QSR, ISO 13485, ISO 14971, IEC 60601-1 and IEC 60601-1-2, IEC 62304 (software lifecycle for medical devices)
  • Experience with Product Lifecycle Management (PLM) systems.
  • Strong communication, teamwork, and collaboration skills.
  • Experience with technical documentation and presentations.
  • Project management skills.
  • SolidWorks experience is a plus

So why join Hologic?
We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you.
The annualized base salary range for this role $78,000 - $122,100 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand.
Agency and Third-Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered.
As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process.
Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.
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