• Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs. • Develop and productionize algorithms and models using machine learning and statistical techniques. • Analyze diverse datasets such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets to inform product direction and algorithm design. • Show significant ownership of the algorithms team’s software architecture. • Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features. • Design and lead implementation of projects up to ~1 quarter long. • Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs. • Participate in system design within the Energy Intelligence team. • Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.), Apache, Git, and Jira. • Uphold high standards in code quality, testing, security, observability, and operational excellence. • Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes.