Top AI & Machine Learning Jobs

Design and operate production-grade agentic AI systems embedded across ServiceNow's platform, focusing on multi-agent architecture, reasoning, safety, and governance.

The Senior Research Engineer/Scientist will focus on AI agent reliability, conducting research on safety, robustness, and integrating findings into ServiceNow's platform. Collaboration with internal teams and the broader scientific community is essential, requiring high-quality research code and active engagement in publications and conferences.

Build and scale a generative conversational AI platform: design APIs, optimize dialog engine for low-latency and low-memory multilingual enterprise usage, implement logging/tracing/metrics, create tooling and interfaces for customization, and collaborate with ML, product, and support teams to deliver robust, scalable solutions.

The role involves enhancing a search-based question-answering platform through ranking features, algorithm frameworks, and performance metrics while collaborating with various teams to solve engineering challenges.

The role involves partnering with teams to define metrics, applying ML techniques, analyzing engineering performance, and mentoring junior data scientists. Responsibilities also include developing scalable analytical systems and integrating AI into workflows.

The Machine Learning Engineer will improve enterprise search systems using traditional machine learning and generative AI, collaborating with various teams to enhance the platform's capabilities.

Build, optimize, and scale end-to-end ML infrastructure for training, evaluating, and serving large language models. Implement distributed training and low-latency inference pipelines, abstractions to automate ML workflows, collaborate cross-functionally, and drive best practices for ML and data engineering to support production LLMs at scale.

Senior individual contributor advising enterprise customers across Southeast Asia on AI and data strategy. Design end-to-end architectures (data ingestion, governance, LLM/RAG integration, workflows), lead presales engagements, run discovery/value workshops, craft technical proposals, and represent thought leadership while mentoring regional solution consulting teams.

Lead architecture and build AI-native, agentic-first features for ITSM/ITOM products. Design scalable distributed systems, prototype solutions, validate via experiments, establish architecture patterns, mentor engineers, and drive cross-team adoption to realize customer value in automation, observability, and data-driven workflows.

The Senior Staff Information Architect leads metadata management, taxonomy design, and AI applications to enhance information architecture and user experiences across digital platforms.