Machine Learning Engineer, Perception Modeling
职位介绍
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.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户?
登录相似职位
其他可能适合您的职位。