Machine Learning Engineer

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.

• 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

• 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

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

• 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.