Partner with other engineering teams to analyze and optimize AWS spend by implementing cost-effective strategies and identifying cost-saving opportunities and efficiency improvements in cloud infrastructure.
You will develop and evaluate end-to-end temporal perception-prediction approaches, such as joint detection-tracking-forecasting, streaming BEV representations, agent / trajectory queries and learned world models, while maintaining strong modular baselines and production fallbacks.
Work closely with Product Managers, Business Development, data teams, and regional stakeholders to translate growth objectives into practical engineering solutions.
Support engineering effectiveness. Work with measurement and platform colleagues to connect existing data, research and tooling. Help teams understand their constraints and identify useful improvements.
Build production features for products such as procurement automation, teacher-facing AI tools, learning assistants, and evaluation/monitoring platforms.