Were building the next generation of AI systems combining classic computer vision with cutting-edge multimodal LLMs. None of this is possible without the right data. As the Data Strategy & Acquisition Lead youll be at the heart of our AI innovation engine. You will work across teams to define source and deliver the high-quality large-scale datasets that power our models. This is not just about collecting data its about understanding what data is needed why its needed and how to get it at scale efficiently and ethically. Youll shape how our organization understands prioritizes and scales data ensuring that every dataset directly advances model capability and real-world performance. Youll partner with research scientists hardware and software teams operations simulation experts and infrastructure engineers to shape our data strategy from concept to execution.
- BS and a minimum of 3 years relevant industry experience.
- Experience in data strategy data operations or technical program management for AI/ML systems or equivalent practical experience.
- Experience managing budgets vendors or external data partnerships
- Masters or PhD in a technical field (CS EE or related).
- Experience building or managing datasets for multimodal LLMs or large-scale computer vision systems.
- Familiarity with modern data infrastructure stacks distributed storage labeling platforms and workflow orchestration tools.
- Experience with privacy-preserving data techniques annotation quality frameworks and dataset bias mitigation.
- Knowledge of simulation platforms synthetic data generation and photorealistic rendering.
- Track record of building or scaling data pipelines supporting research-to-production model development.
- Understanding of trends in data scaling laws foundation models and self-supervised learning.
Were building the next generation of AI systems combining classic computer vision with cutting-edge multimodal LLMs. None of this is possible without the right data. As the Data Strategy & Acquisition Lead youll be at the heart of our AI innovation engine. You will work across teams to define sourc...
Were building the next generation of AI systems combining classic computer vision with cutting-edge multimodal LLMs. None of this is possible without the right data. As the Data Strategy & Acquisition Lead youll be at the heart of our AI innovation engine. You will work across teams to define source and deliver the high-quality large-scale datasets that power our models. This is not just about collecting data its about understanding what data is needed why its needed and how to get it at scale efficiently and ethically. Youll shape how our organization understands prioritizes and scales data ensuring that every dataset directly advances model capability and real-world performance. Youll partner with research scientists hardware and software teams operations simulation experts and infrastructure engineers to shape our data strategy from concept to execution.
- BS and a minimum of 3 years relevant industry experience.
- Experience in data strategy data operations or technical program management for AI/ML systems or equivalent practical experience.
- Experience managing budgets vendors or external data partnerships
- Masters or PhD in a technical field (CS EE or related).
- Experience building or managing datasets for multimodal LLMs or large-scale computer vision systems.
- Familiarity with modern data infrastructure stacks distributed storage labeling platforms and workflow orchestration tools.
- Experience with privacy-preserving data techniques annotation quality frameworks and dataset bias mitigation.
- Knowledge of simulation platforms synthetic data generation and photorealistic rendering.
- Track record of building or scaling data pipelines supporting research-to-production model development.
- Understanding of trends in data scaling laws foundation models and self-supervised learning.
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