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The Customer Success Engineer will manage key US enterprise accounts by driving adoption, providing technical guidance, and facilitating solutions integration while collaborating with cross-functional teams.

The internship focuses on advancing machine learning methods for computer vision, involving designing ML architectures, conducting experiments, and implementing improvements on image-to-sequence modeling techniques.

Collaborate with ML researchers to design and experiment with deep learning architectures for image-to-sequence modeling, improving computer vision tasks.

The Program Manager oversees operational quality in ML Data Operations, establishes quality metrics, designs annotation frameworks, and supports various teams with quality insights. Their role ensures effective decision-making and enhances customer experience through operational excellence.

Lead B2B content strategy and creation across the buyer journey, translating vision AI and smart data-capture technology into thought leadership, campaign and sales content. Collaborate with product, campaign, field and digital teams, build relationships with subject matter experts, use GA4 and analytics to optimize content, and leverage AI tools and custom GPT workflows to scale production and distribution.

The Data Operations Quality Manager will oversee operational quality in data processes, design quality metrics, maintain frameworks, and collaborate with teams to enhance customer experience.

Own strategy and roadmap for ShelfView capture: improve mobile/video/AR capture, define scheduling/onboarding, set capture quality metrics, run experiments, and coordinate cross-functional launches for shelf data acquisition across devices and robots.

As a Senior Computer Vision Engineer, you will lead the development of innovative computer vision systems for retail, focusing on action recognition and creating robust models from real-world video data.

The role involves implementing global performance and development processes, embedding talent and succession planning, designing talent development strategies, leading stakeholder engagement, and managing change initiatives.