Job Description
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 Senior Machine Learning Engineer to join our Machine Learning 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
Contribute to discussions about technical design
Build tools to support model experimentation and model management
Collaborate with DevOps, feature teams, platform teams and product
Contribute to initiatives around improving the scalability and robustness of our platforms
Design, prototype, and refine scalable infrastructure
What you bring to the role
Required
Fluent in at least one of Python or Ruby
At least 5 years of background in building, scaling, and operating large scale applications
Previous experience delivering ML products, or in ML operations (MLOps)
Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
Ability to work with uncertainty and the flexibility to pivot with changing priorities
Deep respect and desire for team collaboration and members perspectives
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 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
LI-AO1
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.
Senior Engineer • Lisbon, Portugal