Machine Learning Developer Intern

Location: Remote/In-person

Role

Sample Projects

Build predictive models for player performance analysis
Develop clustering algorithms for team strategy optimization
Create recommendation systems for match tactics
Implement time-series forecasting for match outcomes

You might be a good fit if

You have experience with machine learning frameworks (scikit-learn, pandas, numpy)
You're familiar with statistical analysis and data science
You enjoy working with large datasets and finding patterns
You have an interest in sports analytics and statistics
You're comfortable with Python and data visualization tools

What will you learn

Advanced machine learning techniques for sports data
Building production ML pipelines
Working with real-time sports analytics
Feature engineering for sports performance metrics
Model deployment and monitoring in production

About

Sports Vector is a sports intelligence company helping teams build smarter strategy and win more games. We build cross-sport platforms that collect insights and data, and convert them into strategy that works across sports.

Our cricket vertical, Crictier, covers the full lifecycle of the game, from granular data tagging and analyst platforms with advanced matchups to deep performance insights, post-match breakdowns, scouting, and live in-match strategy. Everything is powered by AI and built the modern way, bringing everything teams and analysts need into one unified ecosystem.

Applying

To apply, please email your resume and a short note on a project you're proud of to careers@sportsvector.co.

If there appears to be a fit, we'll reach out to schedule short technicals. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.