1

Machine Learning Engineer Intern Jobs in Newtown Square, PA

Senior Engineer - Machine Learning

Ambler, PA · Hybrid

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

Senior Engineer - Machine Learning

Ambler, PA · On-site

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Responsibilities : • We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines ...

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to develop AI-based features and ensure the deployment of secure, reliable, and scalable machine learning ...

Showing results 41-60

Machine Learning Engineer Intern information

See Newtown Square, PA salary details

$24.4K

$40.7K

$84.2K

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

As of Aug 20, 2026, the average yearly pay for machine learning engineer intern in Newtown Square, PA is $40,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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 cities near Newtown Square, PA are hiring for Machine Learning Engineer Intern jobs?

Cities near Newtown Square, PA with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Newtown Square, PA 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 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,737 per year, or $19.6 per hour.

Consultant I (Contractor)

Motion Recruitment Partners, LLC

Philadelphia, PA • On-site

Other

Posted 8 days ago


Job description

Empower our team as a Senior Machine Learning Engineer, where you'll build and deploy reliable machine learning models that drive real results. We're seeking someone with deep hands-on experience in traditional ML techniques and Python, your work will be central to our success.
This role is focused on practical model development, not just AI buzzwords. Join us to collaborate with a small, skilled team, sharpen your skills with large-scale data, and contribute directly to production solutions.
Required Skills & Experience
  • Senior-level, hands-on experience as a Machine Learning Engineer (not AI/LLM-focused)
  • Advanced proficiency in Python, with coding skills comparable to a senior software engineer
  • Proven expertise building, training, evaluating, and deploying traditional ML models
  • Practical knowledge of Random Forest, XGBoost, and CatBoost (strongly preferred and currently in use)
  • Experience using PySpark or another distributed processing framework with machine learning workflows
  • Ability to clearly explain ML models and workflow, with real-world examples
  • Experience with data preparation, feature engineering, and model evaluation
Desired Skills & Experience
  • CatBoost production experience is a plus
  • Industry experience is open, telecom not required
  • Strong teamwork and communication skills
  • Previous experience with small, collaborative ML teams
What You Will Be Doing
Tech Breakdown
  • 60% Machine Learning Model Development and Deployment (CatBoost, XGBoost, Random Forest)
  • 20% Big Data Processing and Integration (PySpark or equivalent)
  • 10% Data Preparation, Feature Engineering, Model Evaluation
  • 10% Collaborative Problem-Solving, Documentation, and Team Knowledge Sharing
Daily Responsibilities
  • 70% Hands-On ML Model Building, Training, and Tuning
  • 15% Collaboration & Explaining Models/Results to Peers
  • 10% Technical Documentation & Data Workflows
  • 5% Support & Optimization of Models in Production