Senior Staff Machine Learning Engineer

Reposted 17 Days Ago
San Francisco, CA
In-Office
206K-308K Annually
Senior level
Software
Zendesk is a service-first CRM company that builds software designed to improve customer relationships.
The Role
The Senior Staff ML Engineer will lead the architecture and implementation of Zendesk's GenAI platform, ensuring systems are secure and scalable while mentoring teams and aligning engineering standards with business goals.
Summary Generated by Built In
Job Description

Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 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.

We’re looking for a Senior Staff ML Engineer to set the technical vision and architecture for Zendesk’s next generation of GenAI infrastructure and platform. You’ll be the primary technical authority for systems like our LLM Proxy, model evaluation frameworks, agent orchestration tools, and multi-model routing ensuring they are secure, scalable, performant, cost-efficient, and future-proof.

This is a hands-on architecture and leadership role, you’ll design high-impact systems, mentor senior engineers, and work across product and platform teams to ensure GenAI capabilities are consistently delivered with excellence.

What you get to do every day

  • Own the end-to-end architecture for Zendesk’s GenAI platform, ensuring alignment with business goals and technical best practices.

  • Set technical direction for core systems including LLM Proxy, agent orchestration layers, evaluation and benchmarking pipelines, and model observability tooling

  • Design and implement model routing, fallback strategies, and A/B testing infrastructure for LLMs from multiple vendors 

  •  Establish engineering standards for safety, latency, cost attribution, and reliability across all GenAI services.

  • Coach Staff and Senior Engineers, providing deep technical guidance and fostering a culture of technical excellence.

What you bring to the role

  • 10+ years in ML/AI engineering, including at least 3 years in staff/principal-level platform or infrastructure leadership roles..

  • Expertise in LLM systems, multi-model orchestration, and GenAI infrastructure patterns

  • Proven ability to design complex, distributed systems with high reliability, security, and scalability requirements

  •  Strong experience with AWS, GCP, or Azure; Kubernetes; Docker; and distributed event-driven architectures

  • Fluency in Python and at least one other server-side language (Java, Scala, Golang, or Ruby).

  • Track record of driving alignment across multiple engineering teams and influencing product direction.

Preferred Qualifications

  • Background in agentic architectures and complex workflow orchestration for AI agents.

  • Experience and contributions to enterprise-scale ML platforms.

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.

#LI-JH1

The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

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.

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 we’re 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 [email protected] with your specific accommodation request.

Top Skills

AWS
Azure
Docker
GCP
Kafka
Kubernetes
Python
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The Company
HQ: San Francisco, CA
6,277 Employees
Year Founded: 2007

What We Do

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. We advocate for digital first customer experiences— and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, co-working spaces, and Zendesk workspaces to make one team.

Why Work With Us

We know one desk doesn’t fit all. At Zendesk, we prioritize remote work because we believe great work happens anywhere. Digital first is more than where we work though. We give our employees flexibility and choice in both where and how they work while also trusting them to be a team player.

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