📅 Sep 8
Develop and deploy machine-learning methods and scalable data pipelines for selecting, enriching, annotating, and evaluating large real-world datasets, improving data quality and its impact on model performance.
Veeda-AI jobs
Builds multimodal foundation world models for embodied agents.
7 open roles at Veeda-AI
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📅 Sep 7
Research and develop multimodal world models for Physical AI, spanning generative and predictive modeling, sequence learning, post-training, evaluation, and collaboration with robotics and systems teams.
📅 Sep 7
Build robotic systems and data-collection workflows, run real-world hardware experiments, develop reproducible evaluations, and collaborate with researchers to improve learning-based robotics systems.
📅 Sep 4
Own ML operations infrastructure spanning experiment tracking, inference fleet orchestration, model evaluation, distributed data pipelines, and visualization, taking systems from design through production support.
📅 Aug 19
Own a mentored project in machine learning, AI infrastructure, data, robotics, simulation, or world models, and deliver a reusable artifact such as a dataset, benchmark, evaluation, or tool.
📅 Aug 19
Build and extend simulation systems for Physical AI, connecting world models to simulators, creating synthetic data and asset pipelines, and improving rollout determinism and simulation fidelity.
📅 Aug 19
Optimize distributed training and inference performance for multimodal video models, spanning GPU profiling, low-precision numerics, custom kernels, communication overlap, and fault-tolerant recovery.
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