Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
Participate in the exploration and development of personalized AI search, with a focus on harness engineering, post-training optimization, and rubric-based automated evaluation, to build next-generation search experiences that better understand users, reason over intent, and make intelligent decisions.
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
Make integration effortless: Create reusable frameworks, SDKs, and configuration patterns so new connectors and integrations can be built quickly and maintained reliably.
Design and Develop Phoenix Contact product-mix solutions and systems with market-orientated value propositions to address market and customers’ demands, needs and pain points.
Proactively identify reliability risks and drive improvements in capacity management, fault isolation, overload protection, disaster recovery, and failure drills. Work with development teams to address reliability issues in system architecture and implementation.