You will innovate on product algorithms that react in real-time to signals and feedback while collaborating across software and hardware stacks. The role focuses on achieving system-wide efficiency gains and ensuring research has a tangible, real-world impact.
You will establish and execute a strategy to support developers and researchers while building community spaces from the ground up. Additionally, you will manage ambassador programs and organize events like hackathons and meetups to foster engagement.
Manage and grow the developer community across platforms like Discord and forums while coordinating initiatives such as meetups and hackathons. Gather community feedback to share with internal teams and foster relationships with developers and researchers.
You will own the lifecycle of product and research launches by translating complex technical work into accessible content for developers and enterprise leaders. Additionally, you will drive engagement across social channels and develop sales enablement collateral to position the company's AI systems effectively.
Develop adaptive algorithms that learn in real-time and react to product signals. Collaborate across software and hardware domains to optimize system-wide efficiency and ML stack performance.
The role focuses on building and optimizing models that evolve in real-time through cross-stack collaboration across software, hardware, and algorithms. The scientist will drive innovation to create intelligent systems capable of efficient real-world interaction.
