ML Intern — Mobile Sports Vision Pioneer

SwingVision Inc.; Berkeley (CA); On-site; USD 34,000 - 55,000; Full time

Job summary

SwingVision, an AI racket sports app, seeks a Machine Learning Intern in Berkeley, CA. You will learn and contribute across the ML pipeline, from research to deployment, powering our computer vision capabilities.

Upon successful completion, a full-time ML Engineer offer will be extended. You will design and develop ML models, assist data collection and preprocessing, and support deployment and monitoring in a small, high-growth team.

Qualifications

• Bachelor’s degree in CS/Data Science or related field required.
• Familiarity with Python and ML libraries (PyTorch, TensorFlow).
• Strong ML fundamentals and problem solving.
• Experience with Swift and Core ML is a plus.
• Internship in high-growth environment preferred.
• Background in sports analytics is a plus.

Responsibilities

• Learn and contribute to the ML pipeline from research to deployment.
• Design and develop ML models and algorithms.
• Contribute to data collection, cleaning, and preprocessing.
• Support deployment and monitoring of ML models.
• Participate in team meetings and contribute innovative ideas.

Skills

Problem-solving

Attention to detail

Team collaboration

SwingVision user

Education

Bachelor’s degree in Computer Science / Data Science

MS/PhD in CS/Statistics

Tools

Python

PyTorch

TensorFlow

Swift

Core ML

Job description

SwingVision, an AI racket sports app, seeks a Machine Learning Intern in Berkeley, CA. You will learn and contribute across the ML pipeline, from research to deployment, powering our computer vision capabilities.

Upon successful completion, a full-time ML Engineer offer will be extended. You will design and develop ML models, assist data collection and preprocessing, and support deployment and monitoring in a small, high-growth team.