精選MLE崗位|NVIDIA、Amazon、TikTok持續熱招！

為大家獻上今天的精選崗位！

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【NVIDIA】

職位：Technical Marketing Engineer Intern, AI Platform Software – Fall 2025

行業分類：Software, Fabless, Artificial intelligence

公司規模：10K+ employees

工作地點：US, CA, Santa Clara

職位要求：

Pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or similar field
Meaningful coursework or practical experience with deep learning or machine learning
Strong knowledge of Python, programming techniques, and software development
Strength presenting to technical audiences and generating content for developers

職位申請連結（請直接複製至瀏覽器開啟）

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Technical-Marketing-Engineer-Intern–AI-Platform-Software—Fall-2025_JR1998853?locationHierarchy1=2fcb99c455831013ea52fb338f2932d8&locationHierarchy1=2fcb99c455831013ea529c3b93ba3236&workerSubType=0c40f6bd1d8f10adf6dae42e46d44a17

【Amazon】

職位：Applied Scientist – Safety ML

行業分類：Conglomerate

公司規模： 1,541,000 (December 2022)

工作地點：USA, CA, San Francisco

2+ years of hands-on industry experience building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.
2+ years experience writing high quality code to ship those models in production systems.
PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience.
Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Familiarity with operating in AWS or similar cloud-computing services.

職位申請連結（請直接複製至瀏覽器開啟）

https://www.amazon.jobs/en/jobs/3011350/applied-scientist-safety-ml

【TikTok】

職位：Machine Learning Engineer, TikTok Trust and Safety

行業分類：Digital Media

公司規模：28,682

工作地點：San Jose

職位要求：

BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas
Strong coding skills, especially in Python and similar languages.
Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.
Preferred Qualifications:
Minimum of 1 year of related experience.
Experience in Large Language Models, multimodal modeling, Active learning, and Reinforcement learning.
Publications in top AI/ML conferences are a plus. – Understanding of the recommendation system or moderation system.
Experience in developing online ML systems including ranking, and retrieval.