Staff Machine Learning Scientist

.By clicking "Apply Now," I understand and agree that Zendesk and its affiliates will collect and process my information in accordance with Zendesk's Candidate Privacy Notice. Job Description 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 intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning algorithms to help us on that mission, and we're passionate about empowering our customers. You will be embedded in a multi-functional team, closely collaborating with scientists, engineers and product managers. You will contribute to the Research road map of Zendesk, by researching and building efficient machine learning solutions that can power AI capabilities, such as macro suggestions for admins and semantic search. What you'll be doing Pair with applied ML scientists to learn about our technology stack and architecture Collaborate with ML teams to research, build and improve efficient AI solutions with a significant impact on customer support Solve meaningful and challenging problems with recent ML techniques including neural networks and information retrieval Support productionizing ML techniques and learn how to design for scale Collaborate with hardworking, experienced, and humble colleagues around the globe Present your work to a multi-disciplinary, global audience Stay up to date with recent literature in Machine Learning and Natural Language Processing (NLP) and share knowledge internally Champion initiatives to improve the quality and robustness of Zendesk AI capabilities Mentor junior colleagues and set a high standard for applied research at Zendesk What you bring to the role Required experience MSc degree in computer science, electrical engineering, math, or related areas A solid foundation in statistics and machine learning techniques Good programming skills in python Experience with at least one of the main deep learning libraries (Tensorflow, Keras, PyTorch), preferably PyTorch A desire to learn and grow Be curious and eager to understand the fundamentals of AI in a critical way Be pragmatic and results oriented Preferred requirements PhD degree in computer science, electrical engineering, math, or related areas