Machine Learning Engineer

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Job Title : - Machine Learning Performance Engineer - CUDA Python

Duration : 6 month contract with the likelihood to extend

Location : Remote but candidates must be willing to travel to different customer sites.

• Must be willing to travel
• Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc.
• Must be willing to help train WWT employees and customers

Position Category : Infrastructure

Job Description :

Your part here is optimizing the performance of our models both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?