Senior Software Engineer - Computer Vision

About GameChanger:

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.

The Position:

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:

• Design, develop, and implement computer vision and machine learning algorithms and models.
• Collaborate with other engineers to integrate computer vision and machine learning solutions into the GC app, or deploy them into our backend.
• Stay up-to-date on the latest research and advancements in the field, and apply them to projects
• Work with cross functional teams to understand the problem facing different users in different sports domains.
• Decide when to apply off-the-shelf models, and when and how in-house models are necessary to accomplish our goals.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Minimum of 5 years of professional experience in computer vision and machine learning. 
• Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as OpenCV, TensorFlow, and PyTorch.
• Comfort working in a cross-functional product team.
• Strong problem-solving skills and ability to work independently and in a  team environment.

Experience:

• Experience with object detection and recognition, image and video processing, and their application to solve real world problems.
• Understanding the pros and cons of running a model on the edge vs the backend, and how to help make those decisions a plus.
• Our backend APIs are built with TypeScript, Node.js, Redis, Kafka, and PostgreSQL and run in AWS. It's not required that you know these, but we prefer that you are open to full-stack development.
• Experience or interest in product analytics,  A/B testing and product experimentation at scale is an added bonus.

Perks:

• Work remotely or from our well-furnished, modern office in NYC's FiDi.
• Unlimited vacation policy.
• Technology stipend - $4,000 every 2 years to purchase new technology.
• Full health benefits - medical, dental, vision, prescription, FSA/HRA., and coverage for family/dependents.
• Life insurance - basic life, supplemental life, and dependent life.
• Disability leave - short-term disability and long-term disability.
• Retirement savings - 401K plan offered through Vanguard, with a company match.
• Generous parental leave.
• Commuter benefits.
• DICK'S Sporting Goods Teammate Discount.

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.