Senior/Staff Machine Learning Engineer
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The role
Lead the design, development, and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation in simulation use cases.
Architect scalable ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including model distillation and quantization.
Build production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.
Apply Vision-Language Models (VLMs) to enhance semantic understanding and controllability of world simulation products.
Partner with research teams to translate state-of-the-art 4D world modeling and generative AI research into robust, production-ready solutions.
Mentor and provide technical guidance to other engineers on the team.
Architect scalable ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including model distillation and quantization.
Build production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.
Apply Vision-Language Models (VLMs) to enhance semantic understanding and controllability of world simulation products.
Partner with research teams to translate state-of-the-art 4D world modeling and generative AI research into robust, production-ready solutions.
Mentor and provide technical guidance to other engineers on the team.
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