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.

　　We are looking for a Senior Engineer to join our Machine Learning team. You will be developing Intelligent Triage capabilities that help automate workflows for customers using AI models. We are looking for someone who thrives on a high degree of autonomy with provided context and is a self-starter. Working well with colleagues across functions of product, science, security, and other groups is essential in this role.

　　What you'll be doing

　　Delivering AI-powered capabilities to our customers at Zendesk scaleWorking closely with data scientists and product to define the scope of features and implementation approach.Working closely with scientists to automate ML processes, productionize new models and improve prediction strategies.Automating the CI/CD pipelines for crucial AI-powered services.Actively collaborating to evolve the workflow and processes together with members of the team.Support our deployed services to ensure a high level of stability and reliability.Willingness to mentor junior team members, as well as pairing with more experienced colleagues and learning from each other

　　What you'll be doing

　　Basic Qualifications:

　　Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).Good proficiency in any sever-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).Sound understanding of architecture and software design patterns for server-side domains.Fundamental understanding of Machine Learning engineering or willingness to learn.Collaborative and growth mindset along with the desire to share knowledge.

　　Preferred Qualifications:

　　Experience managing and deploying cloud services in AWS2+ years of work experience in data/machine learning engineering5+ years developing server-side applications ideally in PythonMachine Learning pipeline automation tools

　　Tech Stack (informational)

　　ML pipeline: Metaflow, AWS SageMaker, AWS BatchML models: PyTorch, TensorFlow, MLFlowStorage: RDS MySQL, Redis, S3Streams and queues: Kafka, Amazon MQService deployment: Kubernetes, SpinnakerLogging and monitoring: Datadog, Sentry

　　Where We Work

　　We're rapidly growing our teams in Lisbon, Portugal and Krakow, Poland. We have exciting next-generation ML products that are already in use by customers in the banking and finance area, online and offline retailers, and even national postal services. You will work with a driven team, passionate about delivering the right experience to end-users using sophisticated and pioneering ML technology.

　　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 [email protected] with your specific accommodation request.