Responsibilities
- Collaborate with engineering teams to ensure successful technical deployments
- Write scripts to analyze technical performance of production machine learning models
- Analyze customer submissions, data, and results to understand desired changes to the machine learning models
- Generate APIs for use by customers by ensuring accuracy of the technical configurations of the machine learning models
- Collaborate with the product team and other stakeholders to ensure customer needs are met, including resolving any technical issues that users run into while accessing our machine learning models
- Collaborate with the product and engineering teams as needed for other technical aspects of product deployment with customers
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- You have a bachelor's or graduate degree in Computer Science or a related field, such as Engineering or Mathematics
- You have 1-3 years of work experience in a Product Management or Engineering role at a technology or technology consulting company
- You have working knowledge of functional programming languages such as Python or Node.JS
- You have experience in an interdisciplinary/cross-functional field. Added points for enterprise-technology, SaaS, client facing, or start-up experience
- You have distinctive problem-solving skills and impeccable business judgment
- You possess excellent written and verbal communication skills
What We Do
Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent automation. The company offers a portfolio of best-in-class deep learning models, built with consensus-validated training data sourced and annotated by a distributed workforce of more than 2 million registered contributors. Hive's APIs enable use cases including automated content moderation, contextual advertising, advertising and sponsorship measurement, document parsing, and more. Hive processes billions of API requests per month for many of the world’s largest and most innovative companies. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2 million global contributors that supports data labeling operations. For more information, visit thehive.ai.

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