We believe in the life-changing impact of youth sports because they encourage leadership, teamwork, responsibility, and confidence—important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By connecting kids and families through the medium of sports, we celebrate those dedicated heroes and make it our mission to cover every youth athlete like a pro by delivering live video streaming, scorekeeping, and team communication tools to over 550,000 youth sports teams.
So if you love sports, or building cool products is your sport, GameChanger is the team for you. We are a remote-first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today.
We are seeking a highly skilled and experienced Senior Software Engineer with expertise in Computer Vision and Machine Learning. The ideal candidate will have a strong background in developing and implementing advanced algorithms and models for image and video processing, object detection, and recognition. Once a part of our team, you’ll be collaborating with a cross-functional team to bring solutions to life in a variety of sports (volleyball, basketball, football, baseball, and softball). This is a new role at GameChanger, and as such, there are exciting opportunities to work with senior leadership, lay the foundations for the future of CV in our product, and help to build a team around it in the future.
What You'll Do:
Who You Are:
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The target salary range for this position is between $160,000 and $240,000. This is part of a competitive total rewards package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and fair pay.