Staff ML/AI Platform Engineer

3+ years of experience in machine learning platform systems Experience with autoscaling and load balancing Solid understanding of distributed computing Proven experience with distributed computing Superb written and oral communication skills Experience integrating AI/ML models in production Strong background in shell or bash scripting Experience building CI/CD pipelines Experience with infrastructure as service tools (e.g., Terraform, CloudFormation) Experience working with AWS Lambda, ECS, ECR, SageMaker or other cloud platforms Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow Experience with development environment and deployments using Docker Strong knowledge of computer science fundamentals (OOP, data structures, algorithms) Experience writing data pipeline and ML libraries/utilities Willingness to learn new technologies Willingness to mentor junior ML engineers and data scientists Comfortable in a high-growth, fast-paced, agile environment

Design, prototype, and productionize scalable AI/machine learning models Set best practices in machine learning and direction for the ML platform Develop frameworks, pipelines, libraries, utilities, and tools for ML tasks Partner with ML engineers and data scientists to troubleshoot and optimize ML pipelines Work with product managers to gather requirements for ML models Build a model deployment platform to simplify new model implementation Build end-to-end reusable pipelines from data acquisition to model output Mentor and guide junior data scientists on model deployment Design & build ML engineering solutions that enable new ML modeling capabilities