Machine Learning Intern

SwingVision, Inc. • Berkeley, CA

5d • Onsite

About The Position

SwingVision is the AI racket sports app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes. Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what’s possible on a mobile device. We are currently seeking a Machine Learning Intern to join our team in Berkeley, CA. You will learn about and contribute to the entire machine learning pipeline from research and training to testing and deployment, driving the computer vision capabilities that power our category-defining app. Upon successful completion of the internship, a full-time Machine Learning Engineer offer will be extended.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field.
• Basic understanding of machine learning principles and techniques.
• Familiarity with Python and machine learning libraries such as Pytorch and TensorFlow.
• Strong problem-solving skills and a keen attention to detail.
• Avid user of SwingVision.

Nice To Haves

• Interning in a Series A or similar high-growth environment (team size <50).
• Prior experience in Swift and Apple's Core ML framework.
• MS or PhD in Computer Science, Statistics or a related major.
• Background in sports analytics, kinematics, or a deep understanding of racket sports mechanics.

Responsibilities

• Assist in designing and developing machine learning models and algorithms.
• Contribute to data collection, data cleaning, and preprocessing tasks.
• Support senior engineers in the deployment and monitoring of machine learning models.
• Participate in team meetings and contribute innovative ideas.

What This Job Offers

• Career Level: Intern