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Browse 9 exciting jobs hiring in Computer Vision Research now. Check out companies hiring such as Bosch Group, Pear VC, FM in Newark, Arlington, Buffalo.

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Posted 2 days ago

A hands-on research & engineering intern position at Bosch RTC-NA focused on 3D vision, scene understanding, and applying state-of-the-art ML methods to real-world autonomous systems.

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Bosch Group Hybrid 384 Santa Trinita Ave, Sunnyvale, CA 94085, USA
Posted 2 days ago

A research-focused internship at Bosch RTC-NA to develop and evaluate future-prediction methods for latency mitigation in distributed embodied AI systems.

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Work with NomadicML founders to train and productionize large-scale vision-language models that reason about motion in real-world video for autonomy and robotics.

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Posted 7 days ago

SewerAI is hiring an AI Technical Lead Manager to define the computer vision strategy, build a high-standard dataset, and deliver production-ready ML systems from a hybrid role in Walnut Creek, CA.

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10x Value Partners GmbH Hybrid 1150 S Olive St, Los Angeles, CA 90015, USA
Posted 16 days ago

ARCbuild is seeking a proactive Founders Associate Intern to drive strategic projects, synthesize executive-grade research, and optimize operations for a fast-growing, tech-enabled modular housing startup.

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Apply simulation, ML, and robotics expertise to build scalable physics-based environments and train large behavior models that enable real-world robot learning at TRI.

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Kitware Hybrid No location specified
Posted 25 days ago

Join Kitware as an on-site AI Research Intern to develop and publish research on computer vision, foundation models, and multimodal AI while contributing to open-source projects and mission-driven government and commercial efforts.

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Analog Devices Hybrid US, CA, San Jose, Rio Robles
Posted 26 days ago

Senior technical leader responsible for defining AI/ML vision, architecting enterprise ML systems, and leading cross-functional initiatives to drive innovation at Analog Devices.

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Lead development of scalable vision-language foundation models and optimize them for real-time, edge-capable deployment within Ambient.ai’s physical security platform.

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