Doorstep
SWE Intern
On-site — New York City · Internship · Posted Oct 30, 2026
- Education
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
About the job
Supports engineering work on logistics, mapping, and geospatial intelligence by analyzing delivery data and building tools and models to predict dropoff locations.
What you'll do
- Analyze mobile sensor data, GPS traces, and delivery metadata; run experiments on real-world data.
- Help build and evaluate models, and assist with feature extraction, data cleaning, and visualization.
- Contribute code to production systems and communicate findings to the engineering team.
What they ask for
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
- Solid programming skills in Python.
- Familiarity with data science tools such as Pandas, NumPy, Matplotlib, or scikit-learn.
- Basic understanding of machine learning concepts and software development fundamentals; portfolio, coursework, or personal projects demonstrating problem-solving.
Nice to have
- Prior internship, research, or project experience involving data, ML, or engineering; exposure to signal processing.
- Experience with PyTorch or TensorFlow, familiarity with web or app development, or interest in technical or research papers.
Tools
Python, Pandas, NumPy, Matplotlib, scikit-learn, PyTorch, TensorFlow
AI focus
Build and evaluate models that improve understanding and prediction of dropoff locations.
Model-written summary · the original posting is authoritative