Intern Data Science / Machine Learning Engineer Intern
Demandbase is hiring a remote Intern Data Science / Machine Learning Engineer Intern. The career level for this job opening is Entry Level and is accepting San Francisco, CA based applicants remotely. Read complete job description before applying.
Demandbase
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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.
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.
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. Strong analytical skills, with knowledge of SQL or NoSQL databases. Understanding of cloud platforms (Google Cloud, AWS) is a plus.
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.