You haven't searched anything yet.
We are looking for experienced and accomplished Applied Scientists for Machine Learning (ML). You are supposed to be strong in both practical R&D and fundamentals with deep and broad expertise in several or at least a few applied science disciplines. You should have a good understanding of the state-of-the-art ML algorithms and methods, exceptional publication records (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, etc.), and good knowledge and experience in computer science and engineering (e.g., how to use CPUs/GPUs for efficient training and inference for diverse use cases). You should also have extensive experience and skills in collaboration with software engineering teams to enable the scaling and productization of ML algorithms.
\nResponsibilities
Full Time
$164k-205k (estimate)
03/13/2024
05/12/2024
gausslabs.ai
<25
The job skills required for Applied Scientist - Machine Learning (US/KR) include Machine Learning, Algorithms, Python, Computer Science, Computer Vision, Software Engineering, etc. Having related job skills and expertise will give you an advantage when applying to be an Applied Scientist - Machine Learning (US/KR). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Applied Scientist - Machine Learning (US/KR). Select any job title you are interested in and start to search job requirements.