Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Evaluation & Reward/Verifier Systems: Help build online Reward/Verifier systems and automated evaluation frameworks — annotation-free automated evaluation, evaluation of long-cycle complex tasks and cross-domain capabilities, and multi-agent collaboration evaluation standards.
We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Collaborate and iterate cross-functionally: Work in an agile team with product managers, designers, and data scientists to turn requirements into well-designed APIs, and refine features iteratively as models and interfaces evolve.
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads