Senior Machine Learning Engineer

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Zendesk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

☁️ SaaS

🤝 B2B

💰 Grant on 2019-09

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.

📋 Description

• Own business metrics (e.g. churn reduction, AI attach rate, seller productivity) and form an opinionated point of view on what we should build next to move them • Deeply understand our users - how they work, where they struggle, what they need - and advocate for building the right things, not just building things right • Define success criteria for the intelligent systems you ship, measure whether they're working for users, and iterate until they are • Develop Python backend services and APIs that connect AI capabilities with modern web applications • Build and maintain the data infrastructure (Snowflake, dbt, Airflow) that powers our AI products • Stay abreast of the latest advancements in LLMs, agent architectures, evaluation frameworks, and AI-assisted development

🎯 Requirements

• 3+ years' experience in Data Science, Machine Learning, or a related field • BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred) • Experience owning business outcomes through intelligent systems - you've shipped an ML model, recommendation engine, or AI feature • Strong stakeholder engagement skills, with a track record of building trusted business partnerships • Strong Python programming skills for both AI application development and backend services/APIs • Strong SQL skills and experience with cloud data warehouses

🏖️ Benefits

• Opportunity to work at the intersection of analytics, AI, and software engineering • A chance to evolve from traditional data science to building intelligent, LLM-powered applications • An environment that values innovation, ownership, and professional growth • The chance to work on high-visibility, high-impact projects alongside a passionate team