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Machine Learning Software Engineer Intern Jobs in Pennsylvania

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline. * Strong experience building and deploying machine learning solutions in ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA

$102K - $140K/yr

Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline. * Strong experience building and deploying machine learning solutions in ...

Cmu

AI Security Software Engineer

Pittsburgh, PA · On-site +1

Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Pennsylvania

Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Pennsylvania?

The most popular types of Machine Learning Software Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Machine Learning Software Engineer Intern jobs?

Cities in Pennsylvania with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

Senior Machine Learning Engineer

BE Group

Malvern, PA

$120K - $158K/yr

Full-time

Posted 17 days ago

Job description

We are assisting our client in hiring for a Senior Machine Learning Engineer.
Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps financial institutions improve collections performance, deliver a better consumer experience, reduce operating costs, anticipate delinquencies, and make more informed credit decisions.

This is a hybrid position based in Malvern, Pennsylvania. Candidates should be local to the Greater Philadelphia region and able to work onsite several days a week.

As part of a significant investment in Data & AI, our client is expanding its engineering organization with two newly created Machine Learning positions. This role is focused on building the predictive intelligence that becomes part of the company's core SaaS platform.

This is a highly hands-on engineering opportunity for someone who enjoys solving real business problems with machine learning. You'll design, build, deploy, and continuously improve production models that help financial institutions better predict customer behavior, prioritize collections strategies, and improve lending outcomes.

Working alongside Product, Engineering, Data, and business leaders, you'll help transform large volumes of structured data into intelligent software capabilities that customers use every day. If you enjoy owning the entire machine learning lifecycle—from feature engineering and model development through deployment, monitoring, and optimization—this is an opportunity to make a measurable impact.

What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • 3+ years of experience designing, developing, and deploying production machine learning solutions.
  • Strong Python and SQL development skills.
  • Experience building predictive models using structured data.
  • Experience with feature engineering, model evaluation, deployment, and ongoing model monitoring.
  • Experience working with cloud-based data platforms and modern machine learning frameworks.
  • Familiarity with Azure, Databricks, MLflow, MLOps, or similar technologies.
  • Experience collaborating with engineering, product, and business teams to deliver production-ready AI solutions.
Preferred Experience
  • Financial services, banking, lending, collections, credit risk, or fintech.
  • Building scalable data pipelines and production machine learning systems.
  • AI-assisted software development tools and modern engineering practices.
  • Passion for solving complex business problems through data and machine learning.