About Zendesk
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.
Our teams in the Machine Learning Organization are responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
Role Description
As an Engineer on our team, you’ll be responsible for developing products in collaboration with our ML Scientists and other ML engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
What you get to do every day
- Write clean and maintainable code to support the team’s delivery commitments
- Work closely with engineers and applied scientists to tackle hard problems Zendesk customers face, using ML technology
- Actively contribute to discussions about technical design and standard methodology
- Support the building of MLOps processes in the team
- Investigate and resolve production issues
- Champion initiatives to improve the scalability and robustness of our platforms
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.
What we offer
- Ownership of the product features implementation you work on
- What you will be doing will have a huge impact
- Team of passionate people who love what they do!
- Exciting features, ability to implement your own ideas and improvements
- Opportunity to learn and grow!
- Possibility to specialise in areas like security, performance and reliability
...and everything you need to be effective and maintain work-life balance
- Flexible working hours
- Professional development funds
- Comfortable office and a remote setup
- Premium Medical Insurance as well as Private Life Assurance
What you bring to the role
- Interest or experience in Machine Learning technology
- Proficiency in at least one of our core languages: Python, Scala, or Java. Experience in Spark is a bonus, too!
- Collaborative and positive approach
- A burning desire to learn and grow
- Exposure to AWS infrastructure is an advantage
What our tech stack looks like
- Our code is written in Scala, Ruby, Python, Java, and Go
- Our servers live in AWS
- Our machine learning models rely on PyTorch and Tensorflow
- Our ML pipelines use AWS Batch and EMR
- Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora
- Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing
