Zendesk is seeking a Senior Machine Learning Engineer to join their AI Agents team, focusing on building a state-of-the-art retrieval-augmented generation (RAG) platform. The role involves working with cutting-edge LLM technology to enhance customer service across multiple channels including bots, email, and search. The position offers the opportunity to work with a team dedicated to improving customer experience for over 125,000 global brands including AirBnb, Uber, and Slack.
The role combines technical expertise in machine learning with practical software engineering, requiring skills in Python, cloud services (particularly AWS), and experience with scalable systems. The team works on challenging problems like optimizing RAG platforms, improving system efficiency, and incorporating multiple context sources for better accuracy.
Working in a hybrid environment, you'll collaborate with ML Scientists, Product Management, and other engineers while having the flexibility to work remotely part of the week. The tech stack includes Python, AWS, various databases (MySQL, Redis, ElasticSearch), and modern deployment tools like Kubernetes and Docker.
This is an excellent opportunity for an experienced ML engineer who wants to work with the latest AI technologies while making a significant impact on customer experience at a global scale. The role offers professional growth, mentorship opportunities, and the chance to work on cutting-edge AI problems with real-world applications.