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Machine Learning Engineer

ZENDESK - Melbourne, VIC

Any Industry
Source: uWorkin


Job Summary

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 Machine Learning Engineer to help scientists productionise their models while helping feature teams in adding value to products. You will have a spectacular impact on how 145,000+ businesses around the world help their customers. The ideal candidate will have some experience as a software engineer and a strong interest in machine learning and data.

What you’ll be doing

  • Contribute to discussions about technical design, validated methodologies and model research

  • Build tools to support model experimentation and model management

  • Build and improve existing data pipelines

  • Collaborate with DevOps, feature teams, platform teams and product

  • Contribute to initiatives around improving the scalability and robustness of our platforms

What you bring to the role


  • Proficiency in at least one of the following languages: Scala/Python

  • 1+ year of software development experience

  • Ability to work with uncertainty and the flexibility to pivot with changing priorities

  • A passion for ML/AI

  • Collaborative and positive approach

  • A burning desire to learn and grow


  • Experience with cloud platforms such as AWS or GCP

  • 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

At Zendesk, we believe that every great customer relationship stems from a conversation. So we built a customer service software company that designs solutions to foster better customer relationships. From large enterprises to startups, powerful, innovative customer experiences should be within reach for every company, no matter the size, industry or ambition. Zendesk serves more than 160,000 customers across a multitude of industries in over 30 languages. Zendesk is headquartered in San Francisco, and operates offices worldwide. 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 benefits@zendeks.com 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.