Machine Learning Ops Engineer

Summary

Join GameChanger, a remote-first tech company, as a skilled MLOps Engineer to lead model deployments for Computer Vision and Machine Learning. You will design and implement MLOps pipelines, manage the model lifecycle, optimize cloud infrastructure, and collaborate with data scientists. This role requires expertise in MLOps tools, machine learning frameworks (PyTorch or TensorFlow), and cloud platforms (AWS). Experience with mobile deployments (iOS and Android) is highly desirable. This is a new team with opportunities to work with senior leadership and shape the future of computer vision at GameChanger. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Track record of building robust maintainable machine learning infrastructure
• Proven expertise in designing and managing large-scale, distributed machine learning systems
• Ability to own projects from design to implementation, comfortable operating autonomously
• Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as PyTorch and Tensorflow
• Strong communication skills, capable of sourcing technical requirements from multiple stakeholders
• A forward-thinking engineer with a passion for building tools and systems that empower others

Responsibilities

• Design and implement MLOps pipelines to automate model deployment to iOS, Android, and cloud infrastructure
• Manage the end-to-end lifecycle of computer vision models, including testing, integration, release, continuous monitoring and scaling in cloud environments
• Optimize cloud infrastructure for cost, performance, and efficiency
• Collaborate with machine learning engineers and data scientists to ensure optimal model performance, scalability, and reliability
• Develop reusable tools and frameworks to simplify future model deployments and reduce friction for other engineers
• Stay up to date with the latest industry trends in MLOps and machine learning deployment technologies, bringing innovative solutions to enhance our capabilities
• Help build a world-class ML practice at GC

Preferred Qualifications

• Experience managing high throughput, scalable machine learning deployments, particularly in computer vision
• Experience with containerization and orchestration technologies (e.g., Docker, ECS, Kubernetes)
• Familiarity with cloud services, Terraform and AWS experience preferred
• Proven ability to optimize and deploy models to iOS and Android
• 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

Benefits

• 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