精选MLE岗位 | NVIDIA、Apple持续热招！

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 【NVIDIA】

职位要求：

• Pursuing your MS or PHD in EE/CS/EECS or related technical field. Ideally passionate about Deep Learning algorithms and Computer Architecture.

• Meaningful experience with Deep Learning application development and GPU performance profiling. Knowledge of CUDA or DirectML is preferred.

• Strong programming ability in C and C++. Python scripting a big plus.

• Proven background in mathematics, algorithms and data structures required, additional background in 3D Compute Graphics preferred.

职位申请链接（请直接复制至浏览器打开）

• Strong problem-solving skills, ability to abstract out details and simplify a problem

• Strong programming skills, e.g. C/C++, python

• Strong background in computer science: algorithms and data structures.

• Knowledge of data mining and machine learning

• Strong interpersonal skills; able to work independently as well as in a team

• Good ML fundamentals

• Experience in training machine learning models (NLP or computer vision)

• Familiarity with challenges associated to building robust ML datasets and models: definition and coverage of target data distribution, potential biases, potential failure modes

• Demonstrated experience in accessing and addressing potential risks and ensuring the safety and fairness in generative models. Prior experience in LLM Safety is a big plus.

• Strong programming skills in Python to operate models and data at scale

• Familiarity with ML toolkits, e.g., PyTorch

• Excellent drive, problem solving skills and analytical approach

• Strong communication and collaboration skills in a cross-functional setting. Ability to work hands-on with multi-functional teams

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