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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.

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.

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

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 Product Manager will define product requirements, manage consumer applications' development, and enhance user engagement through data analysis.

The Frontend Engineer will build custom user interfaces, collaborate with teams on product decisions, and optimize UI code for performance.