Staff Machine Learning Engineer

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Zendesk

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SaaS • B2B • Customer Support

Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.

5001 - 10000 employees

Founded 2007

☁️ SaaS

🤝 B2B

💰 Grant on 2019-09

📋 Description

• Delivering AI-powered capabilities to our customers at Zendesk scale using latest LLM technologies • Working closely with Product Management, ML Scientists and fellow Engineers both within the team and across the company to define feature scope and implementation strategies, using ML technology • Mentoring junior team members, as well as pairing with more experienced colleagues to foster mutual learning • Supporting our deployed services to ensure a high level of stability and reliability • Writing clean and maintainable code to meet the team’s delivery commitments • Contributing to discussions regarding technical design and best practices

🎯 Requirements

• Proficiency in programming languages such as Python or Ruby, along with experience in relevant testing frameworks • Solid understanding of architecture and software design patterns for server-side and web applications • Collaborative and growth mindset, with a commitment to ongoing learning and development • Self-managed, dedicated approach with the ability to work independently • Experience building scalable and stable software applications • Ability to formulate hypotheses, conduct experiments, and analyze results to inform engineering decisions • Experience in designing, implementing, and optimizing search solutions, ideally leveraging Machine Learning techniques and Elasticsearch to enhance search relevance and performance • Experience with managing and deploying cloud services with AWS • Experience with event-driven, distributed architecture using Kafka

🏖️ Benefits

• Team of passionate people who love what they do! • Exciting opportunity to work on RAG (retrieval-augmented-generation), a rapidly evolving field in AI and natural language processing • Ownership of the product features at scale, making a significant impact for millions of customers • Opportunity to learn and grow! • Possibility to specialise in areas such as security, performance, and reliability