Data Science Machine Learning Engineer Intern

Summary

Join Demandbase's Machine Learning/Data Science team as an Intern Data Scientist or Intern Machine Learning Engineer, where you'll gain hands-on experience applying machine learning (ML) and data science to real-world B2B buyer journeys. You'll work alongside experienced data scientists and machine learning engineers to develop, analyze, and optimize machine learning models that impact millions of users and thousands of customers daily. This role is ideal for graduate students looking to deepen their knowledge of ML, data science, and cloud-based analytics while working in a dynamic, fast-paced environment.

Requirements

• Currently pursuing a graduate degree ( PhD or Masters) in Computer Science, Statistics, Machine Learning, Mathematics, Econometrics , or a related field
• Experience with Python and ML libraries (e.g., Scikit-Learn, Pandas, NumPy)
• Basic familiarity with ML frameworks like PyTorch and TensorFlow
• Strong analytical skills, with knowledge of SQL or NoSQL databases

Responsibilities

• Data Exploration & Preprocessing: Work with large-scale structured and unstructured datasets to clean, analyze, and extract insights
• Feature Engineering: Assist in developing features to enhance model performance for ranking, recommendation systems, or ad optimization
• Machine Learning Model Development: Support the design and training of ML models, leveraging libraries such as Scikit-Learn, TensorFlow, and PyTorch
• Experimentation & Evaluation: Run A/B tests and analyze results to refine models and improve business outcomes
• Collaboration: Work closely with senior data scientists, engineers, and product managers to integrate models into production systems
• Documentation & Research: Stay updated on ML trends and document findings to support continuous learning and knowledge sharing within the team

Preferred Qualifications

• Understanding of cloud platforms (Google Cloud, AWS) is a plus
• Prior coursework or projects in machine learning, data science, recommendation systems , experimentation (A/B testing)
• Some experience with Scala or Spark is a plus
• Experience with neural networks and generative AI is a plus
• Passion for solving business problems with data-driven approaches

Benefits

• Work on real-world ML problems with a direct impact on B2B buyer journeys
• Learn from experienced data scientists and machine learning engineers in a collaborative, high-impact environment
• Gain exposure to cutting-edge tools and frameworks used in AI/ML and cloud computing
• Opportunity for mentorship, networking, and potentially full-time opportunities post-internship
• We offer a comprehensive benefits package designed to support your health, well-being, and financial security
• Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones
• In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being
• We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most
• For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind