Machine Learning Software Engineer II

Stack

Responsibilities

• ▹Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems
• ▹Architect and deploy ML solutions using AWS ECS for containerized workloads and AWS Lambda for serverless, event-driven inference pipelines
• ▹Optimize PyTorch models for production deployment by converting them to ONNX formats
• ▹Apply inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient attention mechanisms like Flash Attention
• ▹Establish reliable CI/CD pipelines and ensure robust, secure, and reproducible deployments across the AWS ecosystem
• ▹Design, develop, and evaluate algorithms generating descriptive, diagnostic, predictive, and prescriptive insights
• ▹Write clean, efficient, and well-tested code, with rigorous testing, debugging, and documentation
• ▹Participate in research discussions, requirements gathering, and system design alongside domain experts

Requirements

• ▹Full-stack ML practitioner comfortable with both algorithmic research and production system architecture
• ▹Experience with AWS infrastructure such as SageMaker, ECS, and Lambda
• ▹Experience with PyTorch and PyTorch-to-ONNX model optimization
• ▹Experience building scalable, low-latency production systems

Soft skills

About the company

Cambium Learning Group is an award-winning educational technology solutions leader, delivering SaaS resources and instructional products through brands such as Learning A-Z, ExploreLearning, Voyager Sopris Learning, and VKidz Learning to support personalized instruction for students and teachers.