At Zendesk our mission is simple: make customer experiences better. With 125000 global brands (like Airbnb Uber JetBrains and Slack) relying on us our products help billions of people get support every day.
The AI/ML Platform team powers every AI-driven experience at Zendesk. Were building robust infrastructure to support the next generation of GenAI applications from LLM proxies and evaluation frameworks to multi-step AI agents.
Were looking for a Senior Machine Learning Engineer to help drive this charge. Youll develop secure scalable developer-friendly platforms that empower AI teams across Zendesk to deliver faster smarter and safer experiences.
Youll work closely with Staff Engineers Tech Leads Product Managers and other ML teams to deliver robust production-grade systems that accelerate the impact of AI across Zendesk.
What you get to do every day
Build and improve GenAI infrastructure including LLM proxies benchmarking tools (A/B offline evals) and orchestration systems.
Contribute to the design and implementation of Zendesks LLM Proxy to enable safe observable and cost-optimized access to multiple foundation models.
Enable agentic workflows and tool-using AI systems that integrate deeply with Zendesk products
Drive engineering best practices around observability security reliability and cost attribution
Partner cross-functionally with ML product and infra teams to support varied product use cases
What you bring to the role
5 years building and deploying ML systems at scale
Strong experience with ML platform components: model registries feature stores inference systems
Solid understanding of LLM ecosystems and GenAI infrastructure (vector DBs serving layers orchestration tools)
Proficiency in Python Java Scala Go or Ruby
Experience with cloud platforms (GCP AWS or Azure) Kubernetes Docker and distributed systems
Strong CI/CD testing and service architecture experience
Experience taking projects from design to production deployment with a focus on maintainability and performance.
Bonus points for
Experience with agentic workflows or automation using LLMs
Building dev tools that boost productivity across teams
Our tech stack
Our code is written in Python.
Our servers live in AWS.
LLM Vendors: OpenAI Anthropic Google Llama
Infra: Kubernetes Docker Kafka AWS
We welcome applicants from all backgrounds experiences and perspectives. If youre excited about this role but not sure you meet every requirement we still want to hear from you.
Hybrid: In this role our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection collaboration learning and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
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.
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.
Zendesk is an equal opportunity employer and were proud of our ongoing efforts to foster global diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race color religion national origin age sex gender gender identity gender expression sexual orientation marital status medical condition ancestry disability military or veteran status or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application complete any pre-employment testing or otherwise participate in the employee selection process please send an e-mail to with your specific accommodation request.
Required Experience:
Senior IC