Machine Learning Engineer, Perception Modeling
仕事内容
You will design and implement multi-modal sensor fusion architectures and spatio-temporal representations for perception tasks such as object detection, tracking, occupancy, and semantic road understanding.
Develop scalable data and model training pipelines leveraging large-scale real-world data and compute infrastructure.
Lead distributed fine-tuning with collaboration across developers while implementing safeguards to avoid regression against production systems.
Create and maintain rigorous evaluation recipes and metrics to measure and improve pre-trained and fine-tuned models.
Work primarily in Python with PyTorch or JAX, and contribute to production components in C++ when needed.
Applicants typically have 3+ years of ML/Computer Vision experience and a track record of delivering robust, scalable ML systems.
Develop scalable data and model training pipelines leveraging large-scale real-world data and compute infrastructure.
Lead distributed fine-tuning with collaboration across developers while implementing safeguards to avoid regression against production systems.
Create and maintain rigorous evaluation recipes and metrics to measure and improve pre-trained and fine-tuned models.
Work primarily in Python with PyTorch or JAX, and contribute to production components in C++ when needed.
Applicants typically have 3+ years of ML/Computer Vision experience and a track record of delivering robust, scalable ML systems.
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