Zendesks 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 team is responsible for developing tools and infrastructure needed through all phases of the ML model life cycle. From exploration and design to production deployment and maintenance. We are here to support ML teams in 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 are looking for a Machine Learning Engineer to build the ML platform which provides robust infrastructure to transform models into products for our 145,000+ customers. The ideal candidate will have experience as a software engineer or MLOps engineer, a desire to work in ML/AI domain and a deep interest in developing complex systems and automating the simple ones.
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What youll be doing
- Build software to move machine learning from experiment to production
- Collaborate closely with fellow Engineers to find innovative solutions to technical challenges.
- Contribute to initiatives around improving the scalability and robustness of our platforms
- Prototype, and refine scalable infrastructure
- Build really cool products with a great team
What you bring to the role
Basic Qualifications:
- At least 2 years building scalable and stable software applications
- Proficiency in at least one of our core languages: Python or Java
- Exposure to AWS infrastructure
- A self-managed and dedicated approach with the ability to work independently.
Preferred Qualifications:
- Experience or knowledge of Docker and Kubernetes
- Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
- Familiarity with data engineering tools. E.g. Spark
- Familiarity with AI/ML workflows and associated tooling. E.g. Sagemaker, ML Flow, Metaflow
- Experience or knowledge of Infrastructure as Code tools (e.g. Terraform)
Tech Stack
- Our code is written in Python, Java, Scala and Go
- Our servers live in AWS
- Our team manages infrastructure using AWS CloudFormation, Terraform
- Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora and streamed through Kafka
- Our services are deployed to Kubernetes using Docker
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. We advocate for digital first customer experiences-and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, coworking spaces, and Zendesk workspaces to make one team.
Zendesk is an equal opportunity employer, and were 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 peopleandplaces@zendesk.com with your specific accommodation request.