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Machine Learning Developer Intern Jobs in Philadelphia, PA

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business * Align with Product and business on project ...

Cadent

Lead Data Scientist

Philadelphia, PA

$150K - $175K/yr

Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business * Align with Product and business on project ...

Cadent

Lead Data Scientist

Philadelphia, PA

Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business * Align with Product and business on project ...

Coty

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product ... Engineering, Business preferable) - Proactive, curious and committed to deliver results ...

Coty

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product ... Engineering, Business preferable) - Proactive, curious and committed to deliver results ...

RIT Solutions, Inc.

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 ...

Gilmore & Associates

Civil Engineering Intern

Doylestown, PA · On-site

$17.25 - $22.25/hr

As a Seasonal Civil Engineering Intern, you'll work alongside industry professionals on cutting ... You'll assist in site assessments, data collection, and analysis while learning how to apply ...

Athenago

Data Science Intern

Wilmington, DE · On-site

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

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Showing results 41-60

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Philadelphia, PA

Machine Learning Developer Intern information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

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

As of Aug 22, 2026, the average yearly pay for machine learning developer intern in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you

Consultant I (Contractor)

Motion Recruitment Partners, LLC

Philadelphia, PA • On-site

Other

Posted 10 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

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