Staff Machine Learning Engineer

Zendesk

Multiple Locations

We are looking for a Staff 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.

What you’ll be doing

Build software to move machine learning from experiment to production
Work closely with Data Science, ML Engineers and Product teams to build ML platform and to increase ML adoption across Zendesk
Actively contribute to discussions about technical designs and standards
Champion initiatives to improve the scalability and robustness of our platforms
Design, prototype, and refine scalable infrastructure
Build really cool products with a great team

What you bring to the role

Basic Qualifications:

At least 6 years building scalable and stable software applications
Proficiency in at least one of our core languages: Python
Experience with AWS infrastructure
Experience or knowledge of Docker and Kubernetes
A self-managed and dedicated approach with the ability to work independently
Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities
Experience or knowledge of Infrastructure as Code tools (e.g. Terraform)
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

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