Doorstep
MIT 6A ML Intern
On-site — New York City · Internship · Posted Oct 30, 2026
- Education
- Master’s degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related field; currently enrolled in MIT’s 6A program.
About the job
Develop deep learning models using telemetry, GPS, sensor, and spatial data to improve delivery-route and timing predictions.
What you'll do
- Build and iterate on models to identify patterns in location and movement data.
- Apply research to GPS, multi-sensor, and environmental spatial datasets to improve last-mile prediction accuracy.
- Collaborate with engineers to prototype, test, and benchmark model performance.
What they ask for
- Currently enrolled in MIT’s 6A program and pursuing a master’s degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related field.
- Strong proficiency in Python.
- Proficiency with PyTorch or TensorFlow and data science tools such as NumPy, Pandas, and SciPy.
- Ability to apply machine learning to noisy spatial and time-series data; experience building classification, regression, and prediction pipelines; strong algorithmic foundations.
Nice to have
- Experience building with LLM APIs and agent frameworks, including tool use, structured outputs, and multi-step workflows.
- Early-stage startup experience; DevOps knowledge; continuous training and online learning experience; or a background in signal processing or time-series forecasting.
Tools
Python, PyTorch, TensorFlow, NumPy, Pandas, SciPy, Docker, Kubernetes
AI focus
Develop machine learning and deep learning models for movement-pattern detection and delivery-route and timing predictions.
Model-written summary · the original posting is authoritative