Machine Learning / Deep Learning Intern
About the role
Respo.Vision is on the lookout for a motivated Machine Learning / Deep Learning Intern with a strong interest in applying ML/DL models to real-world problems. This internship is an exceptional opportunity to dive into the development, optimization, and deployment of our state-of-the-art data acquisition and processing system, which captures 3D data from sports events using a monocular video feed.
In this role, you'll work closely with our seasoned ML/DL engineers, contributing to the enhancement of machine learning models and the overall system. You'll have the chance to gain valuable experience in ML/DL development processes, including model design, training, optimization, and implementation. We're committed to fostering an environment where you can experiment, learn, and share your ideas, all while contributing to projects that push the boundaries of technology in sports.
This full-time internship offers a flexible semi-remote work setup. We embrace diversity and welcome applicants from various regions, especially those located in or around Warsaw. We also offer flexible contract types to suit your situation.
Join the Respo.Vision team for a journey filled with learning, innovation, and the chance to contribute to exciting projects that are transforming the sports world. Apply today to start your career in machine learning and deep learning in an environment that values creativity and impact!
Responsibilities/Tasks:
- Assist in designing, developing, refining and deploying ML/DL models within our system.
- Work on testing and optimizing ML models for improved performance and accuracy.
- Contribute to the development and testing of new features and functionalities.
- Support in maintaining a streamlined and effective workflow for ML/DL model integration and deployment.
Requirements
- Current enrollment in an undergraduate (preferably 2nd or 3rd year) or graduate program in Computer Science, Mathematics, or a related STEM field, with a focus on Machine Learning/Deep Learning.
- Basic proficiency with Linux.
- Strong familiarity with Python and its scientific stack (numpy, pandas).
- Demonstrated interest in and knowledge of ML/DL models and algorithms.
- Eagerness to work with cloud environments (GCP) and Docker.
- Fluent in Polish and have a good command of English.
Preferred
- Familiarity with PyTorch / TensorFlow (we use PyTorch)
- Practical experience with ML/DL projects or competitions (e.g. Kaggle).
- Practical experience in Computer Vision projects or competitions.
- Enthusiasm for applying ML/DL to solve challenges in the sports domain.
Benefits
- Acquire hands-on experience in developing State-of-the-art ML/DL solutions that have the potential to revolutionize the sports industry.
- Immerse yourself in a dynamic startup atmosphere facing scientific challenges with the latest in technology and models.
- Participate in international collaborations with leading Football Clubs & Federations.
- Play a role in directing the development path of groundbreaking products.
- Engage in Team Kaggle competitions & hackathons.
- Work in a lively office situated in the heart of Warsaw.