Computer Vision Engineer
GameChanger Remote - US
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 skilled and driven software engineer with a background in computer vision and machine learning. The ideal candidate will have a strong track record of computer vision projects in industry or academia, as well as demonstrated success using lateral thinking and creative problem solving in their work. Once a part of our team, you’ll collaborate 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 state of the art models and techniques, and apply them to projects
Work with cross functional teams to understand the problem facing different users in different sports domains.
Think creatively about how to use new, existing, and custom models to accomplish business objectives.
Who You Are:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
Track record of successful computer vision or machine learning projects in industry or academia
Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as PyTorch, TensorFlow, and OpenCV.
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 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 $140,000 and $185,000. 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.
IMPORTANT NOTICE: All official recruitment communications from GameChanger will come from an email address ending in @gc.com and/or no-reply@ashby.hq.com. If you receive communication from any other domain, please be cautious, as it is likely fraudulent.
ApplyJob Profile
Remote-first Remote work only within the US
Benefits/PerksDisability leave Full health benefits Generous parental leave Health benefits Life Insurance Paid volunteer opportunities Parental leave Remote work Retirement savings Snack stipend Teammate discount Unlimited Vacation Unlimited vacation policy WFH stipend WFH stipend - $500 annually Work remotely Work remotely throughout the US
Tasks- Apply solutions to sports domains
- Collaborate with engineers
- Design and implement computer vision algorithms
- Stay updated on models and techniques
- Work with cross functional teams
A/B Testing Analytics AWS Communication Computer Vision Full-stack development Kafka Leadership Machine Learning Node.js Object detection OpenCV PostgreSQL Problem-solving Product analytics Python PyTorch Redis Teamwork TensorFlow Testing Typescript
EducationBachelor's Computer Engineering Computer Science Electrical Engineering Engineering Master's Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9