Jobs at Hive

Support roadmap and requirements for cloud-hosted deep learning models; collaborate with ML, infrastructure, and product teams to execute features, track engineering velocity, improve models, and communicate product benefits while maintaining data handling and security practices.

As a Product Manager for AutoML, you will oversee the development of features for Hive's AutoML platform, collaborating with stakeholders, managing project timelines, and ensuring successful product execution.

The Customer Success Lead will manage enterprise customers, ensuring they achieve success with Hive's AI solutions through strategic guidance and technical support.

The Machine Learning Engineer will design, deploy, and maintain ML models, work with large datasets, and collaborate with teams to enhance AI solutions.

The Business Analyst will collaborate with engineering and product teams for client deployments, including script writing, data analysis, and API generation.

The Staff Machine Learning Engineer will design, code, and deploy ML models, improve backend systems, and mentor engineers.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

The Business Operations Manager leads initiatives in process improvement, project management, and productivity metrics, supporting the executive team.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

The Business Operations Analyst at Hive will enhance processes for growth, implement reporting goals, and manage key projects across various functions.

As a Business Operations Associate, you will assist the executive team in improving processes, managing projects, and implementing productivity goals to support company growth.

The PR & Communications Lead will drive Hive's strategic communications, managing media relations, crafting narratives, and elevating the company's visibility across publications and industry discussions.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

As a Product Manager, you'll define product requirements and oversee development for Hive's deep learning models, ensuring they meet customer needs and align with business goals.

As a Machine Learning Engineer at Hive, you will prototype, train, and deploy deep learning models, analyze results, and collaborate with cross-functional teams to implement machine learning solutions in production.

The Staff Machine Learning Engineer will implement ML models, design neural networks, maintain scalable code, and lead cross-functional collaborations in AI development.

The Senior Machine Learning Engineer will design, implement, and deploy ML models, contribute to engineering standards, and mentor junior engineers.

As a Forward Deployed Software Engineer, you will lead delivery of solutions for enterprise customers, tackle customer challenges, and improve adoption of AI products through engineering support.

The Growth Strategy & Operations Associate will drive strategic initiatives to scale Hive’s growth, including sales strategy, customer success, product marketing, and recruiting operations.

The Data Operations Analyst will manage projects supporting AI model development, collaborating with teams to ensure project success and deliver high-quality datasets.