Senior Machine Learning Engineer
Job Description
What we are looking for
- 5+ years building production ML/AI systems, with hands-on experience in agent architectures (planning, tool dispatch, memory, error recovery). If you have only used LangChain tutorials, this is not the right fit.
- Strong evaluation instincts. You understand why public benchmarks diverge from production performance and you have built internal evals to close that gap.
- OPTIONAL: Experience with or genuine depth in RL for language models: reward shaping, online/offline tradeoffs, reward hacking as a diagnostic signal. We are building toward domain-specialized training and need someone who can lead that work.
- Python and PyTorch fluency. Familiarity with at least one agent framework, combined with the judgment to know when to build custom.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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