Data Science / Machine Learning Engineer Intern

Introduction to Demandbase: 

Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform.

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”!

We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

About the Role

Join Demandbase’s Machine Learning/Data Science team as an Intern Data Scientist or Intern Machine Learning Engineer, where you will gain hands-on experience in 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.

This role is based in San Francisco, CA, and will last 10-12 weeks during the summer of 2025.

Key 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.

What we're looking for:

Education:

• Currently pursuing a graduate degree (PhD or Masters) in Computer Science, Statistics, Machine Learning, Mathematics, Econometrics, or a related field.

Technical Skills:

• Experience with Python and ML libraries (e.g., Scikit-Learn, Pandas, NumPy).
• Basic familiarity with ML frameworks like PyTorch and TensorFlow is a plus
• Strong analytical skills, with knowledge of SQL or NoSQL databases.
• Understanding of cloud platforms (Google Cloud, AWS) is a plus.

Preferred Qualifications:

• 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.

Why Join Us?

• 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.

Benefits:

The internship role does not offer benefits. The following benefits are available to our employees: 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.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase:

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.