Senior ML Engineer
Senior ML Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description
Zendesks people have one goal in mind: to make Customer Experience better. Our products help more than 125000 global brands (AirBnb Uber JetBrains Slack among others) make their billions of customers happy every day.
The AI/ML Platform team is at the forefront of this mission. We build the foundation that powers every AI-driven experience at Zendesk enabling product teams to build evaluate and deploy state-of-the-art Large Language Model (LLM) applications reliably and at scale.
Were looking for a Senior ML Engineer to lead the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform LLM Proxy A/B Testing & Evaluation benchmarking agentic workflow orchestration tools. Youll empower Zendesks ML/AI teams by building secure cost-optimized and developer-friendly ML platforms that scale across use cases and products.
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
Help build benchmarking frameworks for LLMs including A/B Offline Evals testing capabilities to assess quality latency and cost trade-offs.
Contribute to the design and implementation of Zendesks LLM Proxy to enable safe observable and cost-optimized access to multiple foundation models.
Partner with applied ML product and platform teams to ensure GenAI infrastructure meets the needs of diverse product use cases.
Implement best practices for monitoring observability rate-limiting and cost attribution for LLM services.
Establish strong engineering practices around observability reliability security and cost monitoring.
Work on orchestration tooling to enable multi-step tool-using AI agents that integrate with Zendesks products
What you bring to the role
5 years in developing and deploying ML systems in production with hands-on experience in scaling infrastructure and ensuring service reliability.
Familiarity with core ML infrastructure components such as model registries feature stores orchestration tools and inference serving systems.
Understanding of LLM systems GenAI applications or ML/AI platform components such as vector databases serving layers and orchestration tools.
Experience with GCP AWS or Azure; Kubernetes; Docker; and distributed systems.
Proficiency in at least one server-side language (Python Java Scala Golang or Ruby) and solid grounding in testing and CI/CD workflows.
Understanding of architecture principles and patterns for building scalable resilient backend services.
Experience taking projects from design to production deployment with a focus on maintainability and performance.
Preferred Qualifications
Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks
Experience building tools that improve developer productivity and platform adoption across multiple teams.
What our tech stack looks like
Our code is written in Python.
Our servers live in AWS.
LLM Vendors: OpenAI Anthropic Google Llama
Infra: Kubernetes Docker Kafka AWS
What we offer
Full ownership of the projects you work on.
What you will be doing will have a huge impact.
Team of passionate people who love what they do.
Exciting projects ability to implement your own ideas and improvements.
Opportunity to learn and grow.
...and everything you need to be effective and maintain work-life balance
Flexible working hours.
Professional development funds.
Comfortable office and a remote setup.
Choice of your laptop and other equipment.
Premium Medical Insurance as well as Private Life Assurance.
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.
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.
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
Employment Type
Full-Time
