About the Role

At the core of VoltaBack’s product is a patented algorithm that detects and computes charging sessions from a variety of data sources: vehicle telematics (Battery Management System), smart meter data, and MID-certified calibration measurements. This multi-source data fusion approach achieves robust precision and we want to push it further.

Your mission

The goal of this internship is to improve the accuracy of the algorithm against several benchmarks. This is a research-focused role centered on ML and computational modeling. You will:

• Explore new formulations of the problem : challenge the existing physical and statistical models, propose alternative approaches (non-linear regression, deep learning on time series, etc.)

• Test new algorithms : design and run rigorous experiments, measure impact against ground truth using our evaluation framework

• Work on the features : engineer better signal representations from raw timeseries

Communication is key. You will report directly to the CTO and present results and project advancement regularly. The goal is to maintain a structured documentation practice while exploring as many ideas as possible.

Keep in mind: your algorithms will then be put into production by the software engineering team. Clean code, clear documentation, and reproducible experiments are essential.

What Makes You a Good Fit

• Bachelor’s or Master’s degree in mathematics, statistics, physics, computer science, or another highly quantitative field

• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition)

• Prior experience working in a data-driven research environment

• Experience with translating mathematical models and algorithms into code (Python)

• Independent research experience, you can own a problem end-to-end

• Ability to manage multiple tasks and thrive in a fast-paced team environment

• Excellent analytical skills, with strong attention to detail

We are looking for a gap year intern or a summer research intern starting as soon as April 2026.

• 1 hour technical case

• 15 min discussion with the CEO