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Machine Learning Engineer Intern Jobs in Newark, DE

ClifyX

GenAI Engineer

Wilmington, DE · On-site

ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications.

Fairygodboss

Data Domain Architect Lead

Wilmington, DE · On-site

$120 - $150/hr

Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models * Lead efforts to identify patterns and trends in ...

New

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

... machine learning systems in a FCRA governed context * Applied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineering * Proven experience ...

New

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

... machine learning systems in a FCRA governed context * Applied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineering * Proven experience ...

New

SAP

SAP NS2 AI Consultant Specialist

Newtown Square, PA · On-site

Required : • Proven experience in developing and optimizing machine learning models • Strong competence with various tools, procedures, and programming languages relevant to machine learning and ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

Parsons

AI/ML Software Engineer

Aberdeen, MD · On-site

$103K - $181K/yr

Support the design, development, integration, testing, and maintenance of machine learning software ... Understanding of software engineering best practices, including version control, testing, code ...

New

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Newark, DE

Machine Learning Engineer Intern information

See Newark, DE salary details

$25K

$41.8K

$86.3K

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

As of Aug 21, 2026, the average yearly pay for machine learning engineer intern in Newark, DE is $41,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

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 do machine learning engineer interns do?

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 skills and qualifications are needed to thrive as a machine learning engineer intern?

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 popular job titles related to Machine Learning Engineer Intern jobs in Newark, DE?

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Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Newark, DE as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,632 per year, or $20 per hour.

Senior Manager, Statistical Modeling

Sallie Mae Bank

Newark, DE • On-site

$100 - $130/hr

Other

Re-posted 9 days ago

Job description

Responsibilities
  • Design, develop and implement statistical and machine learning models and algorithms, aligning with organizational goals and digital transformation initiatives.
  • Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement.
  • Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring.
  • Collaborate with cross‑functional teams to translate business needs into effective modeling solutions.
  • Ensure models are robust, reliable, and compliant with security, privacy, and governance standards.
  • Develop and implement evaluation and validation procedures to ensure accuracy, reliability, and scalability of statistical models.
  • Generate regular reports and presentations to communicate results, insights, and recommendations to senior leadership and relevant stakeholders.
  • Stay current with advancements in machine learning and data science, and evaluate new tools and technologies for adoption.
Qualifications
  • Master’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.
  • 5+ years of experience in statistical modeling, including hands‑on experience deploying models in production environments.
  • Proficiency in statistical programming languages such as Python, R, or SAS and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn).
  • Strong understanding of regression analysis, time‑series analysis, predictive modeling and machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning).
  • Experience with cloud‑based platforms (AWS, Azure, Google Cloud) and familiarity with data engineering, data visualization, and model evaluation techniques.
  • Excellent analytical and problem‑solving abilities, with keen attention to detail.
  • Effective communication and interpersonal skills, with the ability to present technical concepts to non‑technical audiences.
Preferred
  • Doctorate’s degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related field.
  • 8+ years of experience in statistical modeling, machine learning, or data science, including managing large‑scale ML projects.
  • Experience with MLOps, containerization (Docker, Kubernetes), and deploying models in enterprise environments.
  • Experience with data governance, security, and compliance in ML projects.

Sallie Mae is proud to be an equal‑opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, veteran status, or any other characteristic protected by federal, state or local law.

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