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Machine Learning Engineer Intern Jobs in Delaware

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175.60K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Bouldercolorado

LEARNING OBJECTIVES * Assist in RF System Design: Work with senior engineers to help design ... Machines and Equipment Used: Assorted precision and non-precision hand tools, power tools ...

Epic

Software Engineer

Newark, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Middletown, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Judge Group, Inc.

Python Developer

Wilmington, DE

$60 - $65/hr

Design and implement machine learning models and pipelines . * Participate in system and platform ... Mentor junior engineers and share best practices. * Make independent technical and design decisions.

Relativity

Senior Applied Scientist

Wilmington, DE · On-site +1

We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...

Maximus

AI/ML Software Developer

Newark, DE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

Dover, DE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

Smyrna, DE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

Seaford, DE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

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Machine Learning Engineer Intern information

See Delaware salary details

$25.5K

$42.6K

$88.1K

How much do machine learning engineer intern jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer intern in Delaware is $42,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Delaware? The most popular types of Machine Learning Engineer jobs in Delaware are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Delaware? For Machine Learning Engineer Intern jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Delaware look for? The top searched job categories for Machine Learning Engineer Intern jobs in Delaware are:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Delaware as of May 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $42,620 per year, or $20.5 per hour.
Principal Engineer - AI Platform

Principal Engineer - AI Platform

Berkley

Wilmington, DE • On-site

$131K - $175.60K/yr

Other

Posted 15 days ago

Job description

Company Details
Company URL: https://www.berkleytechnologyservices.com/
Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.
Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond.
With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry-leading technological solutions.
Berkley Technology Services: Right Team, Right Technology, Simple and Secure.
Responsibilities
The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications. This role works closely with data scientists, software engineers, and product managers to develop scalable solutions that enhance the efficiency, reliability, and performance of our AI systems.
  • Design and develop scalable AI platforms to support various machine learning and deep learning models.
  • Collaborate with data scientists to understand model requirements and optimize infrastructure accordingly.
  • Implement and maintain data pipelines, model deployment strategies, and monitoring systems.
  • Ensure high availability and reliability of AI services through effective troubleshooting and performance tuning.
  • Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and small/secure web front ends.
  • Design and implement database schemas and queries for relational, NoSQL and Graph databases
  • Integrate with third-party services, including Kafka, Entra ID,
  • Collaborate with the frontend team to integrate frontend and backend systems seamlessly
  • Ensure the scalability, reliability, and security of backend systems
  • Troubleshoot and debug issues as they arise
  • Write optimized code and provide innovative solutions to complex problems
  • Stay updated with industry trends and emerging technologies
  • Stay current with the latest advancements in AI and machine learning technologies and incorporate them into the platform.
  • Automate repetitive tasks and improve platform efficiency through scripting and configuration management tools.
  • Provide technical guidance and support to other teams regarding AI platform usage and best practices.
  • Document platform architecture, workflows, and procedures for future reference and scalability.

Qualifications
  • 10+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives.
  • Proven experience in building and maintaining AI or machine learning platforms.
  • Strong knowledge of programming languages such as Python, R, and/or Java.
  • Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Experience in optimizing code and Infrastructure for large data set manipulation
  • Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB
  • Excellent knowledge of modern Vector and Graph databases
  • Excellent knowledge of Redis cache or other similar solutions
  • Experience with version control systems like Git and GitLab and Agile development methodologies
  • Excellent understanding NLP, and AI/ML design and implementation concepts
  • Excellent understanding of REST APIs, API Gateways and SPAs
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Excellent knowledge of data storage solutions and database management systems.
  • Proficiency in object-relational mapping (ORM), advanced algorithms, data structures, object-oriented and functional design principles, and best-practice patterns.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc.).
  • Experience with Master Data Management (MDM) systems and processes.
  • Experience with Data Loss Prevention (DLP), encryption/redaction strategies, etc. for protecting PII/sensitive data.
  • Good understanding of Processor architecture and ability to work with providers to map use cases to appropriate platforms
  • Bachelors Degree in Computer Science, Information Technology, Information Systems, or a related discipline. Equivalent experience and/or alternative qualifications will be considered.
  • 10%-20% of Travel Required.
Preferred Qualifications
  • Advanced degree in computer science, data science, AI, or related field.
  • Experience with big data technologies (Hadoop, Spark).
  • Experience with reinforcement learning, generative AI, or autonomous systems.
  • Knowledge of MLOps practices and tools.
  • Knowledge of insurance-specific AI applications.
  • Hands-on experience working with AI/ML as a Data Scientist.
  • Experience in deploying machine learning models in production environments.
  • Understanding of distributed systems and microservices architecture.

The Company is an equal employment opportunity employer.

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