Description:

GameChanger is seeking a skilled and driven MLOps Engineer to lead model deployments for Computer Vision and Machine Learning.
The ideal candidate will have a strong background in building machine learning infrastructure, deploying computer vision models, and managing the model lifecycle.
Expertise in MLOps tools, machine learning frameworks like PyTorch or TensorFlow, and cloud platforms such as AWS is essential.
Experience with mobile deployments to iOS and Android is highly desirable.
The role involves collaborating with a cross-functional team to implement solutions in various sports, primarily basketball, baseball, and softball.
Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of computer vision models, optimizing cloud infrastructure, and developing reusable tools for model deployments.
The position offers opportunities to work with senior leadership and contribute to the future of computer vision in the product and engineering toolset.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
A track record of building robust, maintainable machine learning infrastructure is necessary.
Proven expertise in designing and managing large-scale, distributed machine learning systems is essential.
Candidates must be able to own projects from design to implementation and be comfortable operating autonomously.
Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as PyTorch and TensorFlow are required.
Strong communication skills are necessary to source technical requirements from multiple stakeholders.
A forward-thinking engineer with a passion for building tools and systems that empower others is preferred.
Experience managing high throughput, scalable machine learning deployments, particularly in computer vision, is required.
Familiarity with containerization and orchestration technologies (e.g., Docker, ECS, Kubernetes) is necessary.
Proven ability to optimize and deploy models to iOS and Android is essential.
Understanding the pros and cons of running a model on the edge vs the backend is a plus.
Openness to full-stack development is preferred, as the backend APIs are built with TypeScript, Node.js, Redis, Kafka, and PostgreSQL.

Employees can work remotely throughout the US or from the modern office in Manhattan, NY.
The company offers an unlimited vacation policy.
Paid volunteer opportunities are available.
A WFH stipend of $500 annually is provided to enhance the home office experience.
A monthly snack stipend of $60 is offered for snacks shipped to home offices.
Full health benefits, including medical, dental, vision, prescription, FSA/HRA, and coverage for family/dependents, are provided.
Life insurance options include basic life, supplemental life, and dependent life.
Short-term and long-term disability leave is available.
A 401K retirement savings plan is offered through Vanguard, with a company match.
Company-paid access to a wellness platform supports mental, financial, and physical wellbeing.
Generous parental leave is provided.
Employees receive a DICK’S Sporting Goods Teammate Discount.