Staff ML Engineer - AI Search & RAG Platform

Zendesk; Lisboa; Hybrid; EUR 91,000 - 137,000; Full time

Benefits offered by this job

RAG projects and AI initiatives

Ownership of features at scale

Learn and grow opportunities

Specialise in security, performance, &

Job summary

Zendesk is seeking a Staff Machine Learning Engineer to elevate our search platform, powering AI-driven experiences for millions of customers. You will work with PMs, ML scientists, and engineers to define scope and deliver high-quality features that improve retrieval-augmented-generation across channels.

You will mentor teammates, optimize our indexing and ranking pipelines, and help design scalable architectures on AWS, Elasticsearch and Kakfa-based streams.

Qualifications

• Proficiency in Python or Ruby with testing frameworks.
• Strong understanding of server-side and web app architecture.
• Ability to work independently and continue learning.

Responsibilities

• Deliver AI-powered capabilities at Zendesk scale using the latest LLM tech.
• Define feature scope and implementation strategy with PMs and ML teams.
• Mentor junior engineers and pair with seniors to foster learning.
• Maintain reliability and stability of deployed services.
• Write clean, maintainable code to meet delivery commitments.
• Contribute to design discussions and best practices.

Skills

Python

Ruby

Testing frameworks

Software architecture

Collaboration

Independence

Scalable apps

Experimentation

ML basics

Tools

Elasticsearch

AWS

Kafka

Job description

Zendesk is seeking a Staff Machine Learning Engineer to elevate our search platform, powering AI-driven experiences for millions of customers. You will work with PMs, ML scientists, and engineers to define scope and deliver high-quality features that improve retrieval-augmented-generation across channels.

You will mentor teammates, optimize our indexing and ranking pipelines, and help design scalable architectures on AWS, Elasticsearch and Kakfa-based streams.