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Staff ML Training & Inference Infrastructure Engineer
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Staff ML Training & Inference Infrastructure Engineer
Job summary
A reputable electric vehicle manufacturer in London is looking for a skilled Deep Learning Engineer. This role involves optimizing training and inference workflows of large deep learning models on NVIDIA GPU systems. Ideal candidates should hold a PhD in a relevant field and have deep knowledge of PyTorch, as well as experience in large-scale distributed model training. The company values an adventurous spirit and offers an innovative work environment.
Qualifications
- Ph.D. in CS/CE/EE required along with equivalent experience.
- Deep knowledge of PyTorch and model training frameworks necessary.
- Experience in large-scale distributed model training essential.
Responsibilities
- Optimize performance of Deep Learning training workload on NVIDIA GPU systems.
- Design, train, and deploy large deep learning models efficiently.
- Improve latency of model inference during operations.
Skills
Education
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.