I'm curious about the AI research job market in fields that aren't LLMs and RL. They're all the rage now, but what about researchers in fields like vision or graphs or more fundamental topics like optimization?
A mid-stage Computer Vision software startup just hired its first ML Engineer to work on multi-modal LLM, VLLM, GenAI for image & language-based tasks.
Their product is SLAM/Perception-focused and they have many CV Engineers, yet even they've found a need for LLM.
Vision is doing okay. One big focus is how to use these fantastic generative models for perception tasks. Multi-model LLMs and inferring 3D structure from 2D images are also popular topics.
Fundamental research tends to be done in academia. Big tech does some of it, but right now they're more focused on making LLMs into products.
DecentRecruiter|2 years ago
A mid-stage Computer Vision software startup just hired its first ML Engineer to work on multi-modal LLM, VLLM, GenAI for image & language-based tasks.
Their product is SLAM/Perception-focused and they have many CV Engineers, yet even they've found a need for LLM.
Legend2440|2 years ago
Fundamental research tends to be done in academia. Big tech does some of it, but right now they're more focused on making LLMs into products.
unknown|2 years ago
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