Machine Learning Intern

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 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.

Recent achievements include:

• Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day
• Featured in Apple Keynote events, Forbes, Financial Times & The New York Times
• Trusted by 500k+ players, coaches, and federations all across the globe
• $10m+ raised from Sony, Tennis Australia and Andy Roddick

The Role

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.

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.

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.

Experience 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.

SwingVision is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.