Knoema

Machine Learning Engineer / Data Scientist

May 10, 2022

Anywhere

[NOTE: This is a remote-friendly position!] What we do: Knoema is the most comprehensive source of global decision-making data in the world. Our tools allow individuals and organizations to discover, visualize, model, and present their data and the world’s data to facilitate better decisions and better outcomes. They are used by more than half a million people worldwide every month. What you'll be doing: We are actively expanding our capabilities in the area of autonomous knowledge building and ontology creation and want you to help. If you want to spend your day pioneering methods to build knowledge graphs, ontologies, taxonomies and the rest of the zoo of models for finding, organizing, and operationalizing relationships among entitles and concepts across numerous fields of data, then Knoema is the right place for you. Requirements Technical must-haves: Proficiency in developing production-quality code in one or more popular languagesExperience developing ML projects that deliver customer impactProficiency in common frameworks: scikit-learn, Pytorch, Tensorflow, or Keras.Experience with communicating insights and presenting concepts to diverse audiences. Senior candidates have:Experience shepherding projects from initial twinkling of an idea to deployed, monitored and self-training ML products operating in a SaaS platformExperience not just working in, but also optimizing software development cycles, data structures and algorithms.Mentoring relationships that have nurtured talent to mature and expand a team’s capabilitiesWe’d be thrilled to know you have:Experience with graph machine learning methods, including graph embeddings and graph neural networksExperience in graph database developmentPublications at top conferences or in top journals, on our key topics (knowledge graphs, ontologies, taxonomies, etc.) Knoema Non-Negotiables: Willing to work on a team that believes:Everything starts with the customerDeliver first, optimize soonSmall experiments >>> large releasesDebates are a sign of passion, and are never personalOwnership is keyViewing diversity as a core strength, not just a nice featureEmbracing a growth mindset to tackle new, interdisciplinary challenges

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