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.
Many years ago we recognised the power of machine learning to predict outcomes and guide people to potential answers when they have a question. We have built and launched a number of machine learning powered products such as Answer Bot, Content Cues and Flow Builder. These products are all developed out of Melbourne, Australia.
We are looking for a Senior Machine Learning Engineer to deliver our scientists’ models to our 145,000+ customers. The ideal candidate will have some experience as a software engineer or MLOps engr, a desire to work adjacent to ML/AI and a deep interest in building ML products.
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 Scala
At least 3 years of background in building, scaling, and operating large scale applications
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
Desire to build solutions utilizing AI/ML
Preferred:
Previous ML/Dev-Ops Experience
Familiarity with Spark
Familiar with one of the machine learning libraries such as Tensorflow or Scikit-Learn
Tech Stack
Our code is written in Python and Scala
Our servers live in AWS
Our machine learning models rely on Tensorflow and Scikit-Learn
Our ML pipelines use AWS Batch and EMR
Our team manages infrastructure using AWS CloudFormation and Chef
Our data is stored in S3, RDS MySQL, Redis, ElasticSearch and Aurora
Our services are deployed to Kubernetes using Docker and are backed by GraphQL endpoints
About Zendesk - Champions of Customer ServiceZendesk started the customer experience revolution in 2007 by enabling any business around the world to take their customer service online. Today, Zendesk is the champion of great service everywhere for everyone, and powers billions of conversations, connecting more than 100,000 logos with hundreds of millions of customers over telephony, chat, email, messaging, social channels, communities, review sites and help centers. Zendesk products are built with love to be loved. The company was conceived in Copenhagen, Denmark, built and grown in California, taken public in New York City, and today employs more than 4,000 people across the world. Learn more at www.zendesk.com.
We believe in service. Learn more about how we provide support to our local communities with volunteering, grants and product donations.
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 ********** with your specific accommodation request.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
