.Machine Learning Science Manager page is loaded Machine Learning Science Manager Apply locations Remote, Portugal Remote, Poland time type Full time posted on Posted Today job requisition id R25304 Job Description Zendesk is looking for a motivated Machine Learning Science Manager to join our ML organization. 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 team is responsible for helping Customer Experience teams to achieve their best, by solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in AI algorithms to help us on that mission, and we're passionate about empowering our customers. As a Machine Learning Science Manager, you will be responsible for expanding and leading a distributed team of ML Scientists, fostering healthy relationships, collaboration and engagement, while supervising the development of AI capabilities. Your role will also involve mentoring and coaching team members, conducting performance evaluations, and finding opportunities for process improvements and innovation. Ultimately, your goal will be to ensure that your team delivers high-quality, scalable, and efficient machine learning solutions that drive business success. What you'll be doing Lead the recruitment, health, engagement and development of your teams. You will have regular, open, action-orientated 1:1s with your reports and set goals that will bring them to the next level and further their careers. Manage a team of machine learning scientists to improve, design, develop, and deploy AI-enabled customer support features. Collaborate with other teams and other functional areas, including product management and engineering, to understand business requirements and translate them into technical solutions. Manage and help prioritize the team's work to ensure timely delivery of high-quality solutions that meet business requirements. Contribute to discussions on the technical roadmap by advocating for the quality of the ML solutions Ensure the team has a deep understanding of the company's data architecture, data governance, and data management processes to ensure accurate and timely data access and availability applications. Develop and maintain in the team best practices for machine learning model exploration, development, testing, deployment and monitoring to ensure high reliability, scalability, and maintainability. Provide a culture of learning and growing while keeping in mind the Zendesk capabilities, by supporting some initiatives to be up to date with the literature and sharing knowledge internally. Support the incorporation in services of innovative machine learning models and algorithms, to continuously improve the effectiveness of AI features
