公司规模:221,000 (2022)
工作地点:Up to 50% work from home
职位要求:
Accepted or currently enrolled in a PhD program in Computer Science, Machine Learning, or related STEM field. Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship. In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
职位申请链接(请直接复制至浏览器打开)https://jobs.careers.microsoft.com/global/en/job/1799468/Research-Intern---Office-AI
行业分类:Artificial intelligence, Advertising, Cloud computing, Computer software, Computer hardware, Internet
公司规模:139,995 (2021)
工作地点:Mountain View, CA, USA; Seattle, WA, USA
职位要求:
PhD degree in Computer Science, a related field, or equivalent practical experience.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Coding experience in Python, JavaScript, R, Java, or C++.
Machine Learning experience
职位申请链接(请直接复制至浏览器打开)
https://www.google.com/about/careers/applications/jobs/results/91265582585782982-research-scientist-machine-learning-and-neuroscience
行业分类:Biotechnology Research
公司规模:10K+ employees
工作地点:SOuth San Francisco, California, United States of America
职位要求:
Must be pursuing a Ph.D. (enrolled student).degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioengineering, or a related field. Deep understanding of vision foundation models and in-depth knowledge of current SoTA in medical foundation models, with ongoing research contributions in the field. Strong programming skills with practical experience working with large datasets. Proficient in Python and experience with state-of-the-art machine learning libraries (PyTorch, JAX). Familiarity with fundamental ML concepts and modern ML architectures (e.g., transformers).
Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioengineering, or a related quantitative field.
职位申请链接(请直接复制至浏览器打开)
https://careers.gene.com/us/en/job/202501-100236/2025-Summer-Intern-BRAID-Machine-Learning-for-Trial-Design
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