ML Scientist Intern role focused on researching, developing, and deploying NLP/ML models for customer experience automation, including intent detection, auto-assist, chatbots, and agent routing. Collaborates with engineers and product managers to translate research into scalable solutions, working with large datasets and exploring techniques like RAG and fine-tuning. Involves rigorous experimentation, productionization, and staying updated with ML/NLP literature.

Staff Machine Learning Engineer to own the ML surface of routing and presence products, transitioning from a rules-based engine to an agentic routing engine. The role involves end-to-end ML ownership from feature engineering and model design to production serving and monitoring, with a focus on applied ML for measurable customer outcomes at scale within a product engineering team. Responsibilities include designing experimentation frameworks, shaping the integration of classical ML and LLM components, and mentoring other engineers.

This role is for a Senior ML Scientist focused on researching and building AI capabilities for customer experience, specifically intelligent triage and recommendations. The role involves collaborating with applied ML scientists and engineers, applying ML techniques like neural networks and information retrieval, and supporting the productionization of these models. It requires an MSc degree, strong Python and deep learning library skills, and a pragmatic, results-oriented approach. Knowledge of NLP, generative models, and information retrieval is preferred.

Staff Software Engineer for Zendesk's AI Copilot organization, focusing on leading the architecture and delivery of AI-powered product features. The role involves bridging product engineering and ML/science, integrating LLMs into production systems, and scaling AI capabilities for customer service agents. Requires strong software engineering background with experience in distributed systems, cloud infrastructure, and integrating ML models into production.

Senior Software Engineer to join AI Copilot organization, delivering AI-powered product features at scale. Focus on end-to-end ownership, integrating ML capabilities, building scalable backend services, and collaborating with ML Scientists and Product Management.

Senior Machine Learning Engineer to build and ship LLM-powered applications, including agent architectures and evaluation frameworks, on solid data foundations. The role involves end-to-end ownership from identifying needs to production deployment and iteration, with a focus on driving business outcomes and stakeholder collaboration.

Senior Software Engineer role focused on delivering AI/ML powered features at scale for Zendesk customers. The role involves working closely with ML Scientists, building tools for model experimentation and management, and contributing to scalable infrastructure for AI platforms. Experience with production AI delivery, LLM technology, and scalable applications is required.

Staff Software Engineer to join the Maquina team, focusing on building AI-powered procedures and conversational AI agents for customer experience. The role involves developing Ruby on Rails and TypeScript services, leading resolution of complex reliability problems, mentoring colleagues, and driving AI adoption. Experience with LLM integrations and enterprise-level AI feature implementation is required.

Zendesk is seeking a Senior AI Data Engineer to build and scale the data infrastructure for their AI Copilot product, which provides AI-driven features for customer service agents. The role involves designing and maintaining ELT pipelines, supporting ML Scientists and Engineers, optimizing data models, implementing cost-saving strategies, and ensuring model monitoring and evaluation.