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 DayTrusted by 50k+ players, coaches, and federations all across the globeInvestors include Andy Roddick, Lindsay Davenport, and James BlakeThe 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 sportsOptimize & deploy novel machine learning models on resource-constrained mobile devicesTrain models to solve complex tasks such as ball tracking, player tracking, automated scoring, etc.Create visualization tools for monitoring experiments and analyzing datasetsContribute & test new ideas as a part of a continuously improving state-of-the-art applicationStay up to date on the latest machine learning literature and industry breakthroughsWork on a collaborative team and effectively communicate results to non-technical teamsMinimum Qualifications: Experience in building and training neural networks in PyTorch or TensorFlowExperience in visualizing network training performance with TensorboardExperience with numpy, scipy, matplotlib, scikit-learn, Jupyter notebooks & bash scriptingStrong engineering practices, debugging skills, and familiarity with multi-threaded programmingProficiency in linear algebra, algorithms, machine learning, optimization & numerical methodsComfortable with UNIX, git, etc.BS/BA in Math, Statistics or Computer ScienceFamiliarity with CoreML and SwiftFamiliarity with computer vision concepts and OpenCVMS or PhD in Math, Statistics or Computer ScienceAvid user of the SwingVision appPassion for Racket SportsSwingVision 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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