Senior Machine Learning Engineer
SeattleOn-siteFull-time
AI Summary
Senior Machine Learning Engineer who designs, trains, and deploys production-scale ML models, builds data pipelines, and mentors junior engineers. Focuses on end-to-end ML projects from data gathering to deployment and monitoring.
About this role
About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Senior Machine Learning Engineer
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
Requirements
Skills
Benchmarks & MetricsCI/CD PipelinesCloud PlatformsCode Quality & TestingComputer VisionData EngineeringData PipelinesDistributed SystemsExperiment TrackingLinux/UnixMachine LearningMentor/leadershipModel DeploymentNLPOWASP Security PracticesProfiling & OptimizationPythonPyTorchShell ScriptingTensorFlowVersion Control (Git)
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