精選MLE崗位|JaneStreet、Apple、GSK持續熱招！

為大家獻上今天的精選崗位！

👇👇👇

【Jane Street】

職位：Machine Learning Researcher Internship, May-August

行業分類：Proprietary trading firm

公司規模：2,000+

工作地點：New York

職位要求：

An undergraduate, PhD student, or postdoc with practical experience working on ML problems
Able to apply logical and mathematical thinking to all kinds of problems
Intellectually curious — asking great questions is more important than knowing all the answers
A strong programmer in Python
An open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of professional backgrounds and areas of expertise
Eager to ask questions, admit mistakes, and learn new things

職位申請連結（請直接複製至瀏覽器開啟）

https://www.janestreet.com/join-jane-street/closed-internship/machine-learning-researcher-may-august-nyc/

【Apple】

職位：AI/ML – Build and Integration Engineer

行業分類：Consumer electronics, Software services

公司規模：164,000

工作地點：San Francisco, California, United States

職位要求：

Proven technical expertise in software development with Java, Python, Swift or Objective-C.
Experience with designing of Designing and Architecting tools and processes designed for integrating multiple projects with high interdependency.
Provide multiple metrics that will help understand performances of code quality, build times and success.

職位申請連結（請直接複製至瀏覽器開啟）

https://jobs.apple.com/en-us/details/200596952/ai-ml-build-and-integration-engineer?team=MLAI

【GSK】

職位：AI/ML Engineer

行業分類：Pharmaceutical Manufacturing

公司規模：10K+ employees

工作地點：Cambridge, Massachusetts; South San Francisco, California; Seattle, Washington; Collegeville, Pennsylvania

職位要求：

Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive.
Experienced in developing deep learning models.
Scientist, machine learning engineer, and software engineer with expertise and depth in at least one area.
Experience with standard deep learning algorithms and model architectures.
Familiarity with current deep learning literature and math of machine learning.
Knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation.
Experience in PyTorch, Tensorflow, or other deep learning frameworks.
Experienced/accomplished in software engineering with advanced skills in python and/or C++
Experience with devops stacks: version control, CI/CD, containerization, etc