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Employer: Productivity Industries
Expires: 05/31/2021
Summer Candidates Only, if you are looking for hire earlier, please use other posting. Thank you.ResponsibilitiesSearch for new dataset material to train our ML models (finding content and derived data which can be used to build our ground truth dataset).Implement crawlers and data processing for those dataset collectionsWork side by side with our engineering team to integrate this softwareImplement internal tools to help augment, test, validate our datasets / models (backend and front end web development (Angular/Typescript))Work with data scientist to design, execute, and monitor experiments to improve our ML modelsSupport ML development in production, by testing and identifying areas for improvementAssist in brainstorming new approaches to ML problemsDefine and manage the labeling of ground truth data by our labeling teamSupport the team by running tests on our client applications (iOS / Web)Support executive team with marketing collateral preparation.Minimum QualificationsPursuing CS or holding CS degree or equivalent work experienceRelated intern and or industry experience working projectsExperience with at least one of: Node/Typescript, Python or Java languagesOutstanding technical problem solving and debugging abilitySelf-motivated to learn and execute with attention to detail in documentation and executionAbility to handle technical and design ambiguityPreferred QualificationsExperience with control Version / Git. Git workflow, Continuous Integration / Deployment: bonus points.Experience with software building tools like Gradle / MavenExperience with CI/CD frameworksExperience writing with command line toolsExperience with AWS.Experience working remotely with an international team in different timezones.Experience with any/all of the following are a plus:Machine LearningUnderstanding of modern architectures like Convolutional Neural Networks, Transformers, Recurrent Neural Networks, etc.GPU or similar parallel programming architecture optimizationsExperience with Pytorch, TensorFlow, MXNet, or a similar deep learning frameworkDevOps / InfrastructureSoftware test methodologies or QA