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.
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.
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
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
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
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
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.