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Deep Learning Ai Jobs in Delaware (NOW HIRING)

Whiterabbit.ai

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

Whiterabbit.ai

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

Whiterabbit.ai

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

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Deep Learning Ai information

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are popular job titles related to Deep Learning Ai jobs in Delaware?

For Deep Learning Ai jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Deep Learning Ai jobs in Delaware look for?

The top searched job categories for Deep Learning Ai jobs in Delaware are:

What cities in Delaware are hiring for Deep Learning Ai jobs?

Cities in Delaware with the most Deep Learning Ai job openings:

Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Software Engineer, First State AI Institute

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Re-posted 2 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

581st of 618 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
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 VI and 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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