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Staff Software Engineer

Lead development of scalable infrastructure for AI/ML model deployment and experimentation
Lisbon
Senior
1 week ago
Zendesk

Zendesk

A customer service software company offering support, sales, and customer engagement products to streamline conversations across channels.

Staff Machine Learning Engineer

At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.

We are looking for a Staff Machine Learning Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.

What You'll Be Doing

Work closely with ML Scientists to help bring ML-powered features into production and provide technical leadership across teams

Lead discussions about technical design and architecture

Build and guide the development of tools to support model experimentation and model management

Collaborate with DevOps, feature teams, platform teams, and product to drive initiatives and overcome technical obstacles

Lead initiatives around improving the scalability and robustness of our platforms

Design, prototype, and refine scalable infrastructure, influencing best practices and mentoring teams

What You Bring To The Role

Required:

Fluent in at least one of Python or Ruby

At least 7 years of background in building, scaling, and operating large scale applications, with a demonstrated ability to drive technical direction and mentor others

Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP

Ability to navigate ambiguity and provide direction with changing priorities

Deep respect and desire for team collaboration, while influencing and elevating team practices and technical standards

Desire and ability to build solutions utilizing AI/ML at scale

Preferred:

Experience with either Airflow or Metaflow

Experience with recent tooling around LLM evaluation and monitoring

Familiar with one of the machine learning libraries such as Pytorch

Experience with either SQL or DBT

Tech Stack

Our code is written in Python and Ruby

Our servers live in AWS

Our local machine learning models rely on Pytorch

Our ML pipelines use Airflow and Metaflow

Our data is stored in S3, RDS MySQL and Snowflake

Our services and models are deployed to Kubernetes using Docker

Heavy usage of LLM technology from multiple providers

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.

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 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 peopleandplaces@zendesk.com with your specific accommodation request.

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Staff Software Engineer
Lisbon
Engineering
About Zendesk
A customer service software company offering support, sales, and customer engagement products to streamline conversations across channels.