STRATEGIC STUDENT PROGRAM: MACHINE LEARNING (ML) OPERATIONS INTERNSHIP (FALL 2026, GSCS) - 509106

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Fall 2026 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

• Currently enrolled as an undergraduate student at an accredited university
• Legally authorized to work in the United States without the need for current or future sponsorship by the company
• A minimum 3.0 GPA

Perks:

• Employee discounts at our top customer sites
• Networking with our global leaders
• Mentorship from senior employees
• Individual career development planning
• Professional and technical workshops
• Paid volunteer time off
• Energetic student community
• Leadership opportunities
• Potential for full-time offers after university graduation and completion of the program

Position Overview:

We are seeking a motivated Machine Learning (ML) Operations Intern to apply their ML expertise to develop models and tools as part of a broader team of expert Data Scientists and Software Developers delivering AI and ML capabilities for our internal Sales Teams.

Key Responsibilities:

• Performing analysis and mining data from sales, finance, and other business-critical domains
• Performing data preprocessing, exploration, visualization, and statistical analysis to understand and identify plausible correlations in available data
• Identifying, documenting, and evaluating requirements, design, and implementation details of data algorithms in support of the broader development team and our business partners
• Developing pipelines and scripts for feature engineering, training, fine-tuning, inference, and other foundational data science work required to build and validate models
• Leveraging AI tools to accelerate model development and business outcomes

Requirements:

• Candidates must be currently pursuing a bachelor's or master's degree in a quantitative discipline or any of the following fields of study: data science, business analytics, statistics, or computer science, with undergraduate candidates in their junior or senior year.

Comfortable working in a fully remote environment and must reside on the U.S. Eastern Coast or Central. * Candidates must have strong skills in Python programming and be familiar with common data analysis libraries (e.g., pandas, numpy, statsmodels).

• Candidates must have demonstrated adaptability and a willingness to learn in the face of rapidly evolving ML and AI capabilities.
• Candidates should be familiar with enterprise data processing tools based in SQL and the application of tools to gather both structured and unstructured data from enterprise platforms (e.g., Salesforce, Oracle Db, Tableau, Snowflake).
• Candidates should be familiar with ML and Deep Learning libraries such as scikit-learn, keras, and tensorflow.
• Candidates should have a working knowledge of both supervised & unsupervised techniques for machine learning and their implementation, as well as an understanding of data science fundamentals including classification, regression, clustering, bias-variance trade off, overfitting, underfitting, model evaluation, and the application of best practices.
• The ideal candidate will have experience leveraging generative AI tools as a thought partner, to streamline programming and problem solving.

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