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Machine Learning Engineer Intern Jobs in Delaware

Collaborate closely with data science, product, and engineering teams to integrate models into ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/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 ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/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 ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/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 ...

... Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis • Partner with leads in Data Science, Engineering, and Analytics to ...

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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 Jul 12, 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 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.

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 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:
Infographic showing various Machine Learning Engineer Intern job openings in Delaware as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,620 per year, or $20.5 per hour.

Part-time

Re-posted 5 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.
  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
  • Previous internship or project experience demonstrating practical data science applications.
  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.