SwingVision is the AI tennis & pickleball 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:

2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day
Featured in Apple Keynote events, Forbes, Esquire, CNET, The New York Times
Trusted by 50k+ players, coaches, and federations all across the globe
Investors include Andy Roddick, Lindsay Davenport, and James Blake

💼 The Role

We are currently seeking a Machine Learning Engineer to join our industry-leading ML team and expand our AI capabilities within tennis & other racket sports.

The annual US base salary range for this role is $110,000 - $160,000. The final salary will be based on a number of factors, including the candidate’s experience, qualifications, and location.

Additional benefits include: equity, performance-based bonus, 401(k); and medical, dental & vision.

Responsibilities

Develop efficient & scalable data pipelines to harness rapidly growing datasets in multiple sports
Optimize & deploy novel machine learning models on resource-constrained mobile devices
Train models to solve complex tasks such as ball tracking, player tracking, automated scoring, etc
Create visualization tools for monitoring experiments and analyzing datasets
Contribute & test new ideas as a part of a continuously improving state-of-the-art application
Stay up to date on the latest machine learning literature and industry breakthroughs
Work on a collaborative team and effectively communicate results to non-technical teams

Requirements

Experience in building and training neural networks in PyTorch or TensorFlow
Experience in visualizing network training performance with Tensorboard
Experience with numpy, scipy, matplotlib, scikit-learn, Jupyter notebooks & bash scripting
Strong engineering practices, debugging skills, and familiarity with multi-threaded programming
Proficiency in linear algebra, algorithms, machine learning, optimization & numerical methods
Comfortable with UNIX, git, etc
BS/BA in Math, Statistics or Computer Science

Preferred

Familiarity with CoreML and Swift
Familiarity with computer vision concepts and OpenCV
MS or PhD in Math, Statistics or Computer Science

Bonus

Avid user of the SwingVision app
Passion for Racket Sports

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.

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