About GameChanger:

We believe in the life-changing impact youth sports have on and off the field 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 building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports.

So if you love sports and their community-building potential, 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 Staff 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 classification, action recognition, object detection, and person tracking/reidentification tasks on user-generated or web-scraped images and video. Experience in advanced preprocessing techniques, data cleaning, and especially large dataset curation is highly desirable. Once a part of our team, you’ll collaborate with a cross-functional team to bring solutions to life in a variety of sports, focusing mainly on basketball, baseball, and softball. This is a new team 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 in our engineering toolset.

What You'll Do:

• Design, develop, and implement computer vision and machine learning algorithms and models to solve problems in youth sports.

• Curate large datasets of user generated sports images and video.

• Build self-supervised image and video 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 tech stack and solutions at GC.

• Collaborate with cross functional teams to understand the problem facing different users in different sports domains.

• Help build a world-class ML practice at GC.

Who You Are:

• Bachelor’s,Master’s, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

• Minimum of 8 years of professional experience in computer vision and machine learning. 

• Consensus builder and leader across engineering teams. 

• 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, or an engineering-lead research team.

• Strong problem-solving skills and ability to work independently and in a team environment.

Experience:

• Experience with classification, action recognition, object detection, and person tracking/reidentification tasks in images and video, and their application to solve real world problems.

• Experience curating large datasets for supervised and self-supervised learning tasks

• End-to-end delivery of CV applications from data preparation and prototyping to deployment

• Oversight of the full ML Ops lifecycle. 

• Leading high impact projects with a high degree of freedom & autonomy.

• 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.

Perks:

• Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY.

• Unlimited vacation policy.

• Paid volunteer opportunities.

• WFH stipend - $500 annually to make your WFH situation comfortable.

• Snack stipend - $60 monthly to have snacks shipped to your home office.

• 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.

• Company paid access to a wellness platform to support mental, financial and physical wellbeing.

• Generous parental leave.

• 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 $200,000 and $260,000. This is part of a total compensation package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience, internal pay equity, and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board.

*DICK'S Sporting Goods has company-wide practices to monitor and protect us from compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place, we are unable to hire in AK, DE, HI, IA, LA, MS, MT, OK, and SC.

Compensation Range: $200K - $260K