• MS or PhD in computer science, mathematics, or related fields with emphasis on algorithm design and implementation.
• Strong understanding of graph algorithms and data structure design.
• Practical experience in making an algorithm perform efficiently upon implementation.
• Ability to write complex, highly-performant, and reliable solutions, preferably in C++.
• Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high quality results.
• Good interpersonal and communication skills, possessing the ability to work both independently and in a distributed team environment.
• Proficient communication in English with a sense for listening to others as well as getting your message across concisely.
• Occasionally provide support outside of standard business hours to aid with various team and system needs such as video calls and other project requirements.

https://jobs.apple.com/en-us/details/200602835/algorithm-engineer-maps-navigation-team?team=SFTWR

【Amazon】

職位：GPU Machine Learning Engineer

行業分類：Conglomerate

公司規模： 1,541,000 (December 2022)

工作地點：USA, TX, Austin

職位要求：

• Experience triaging and developing security alerts and response automation, conducting front-line analysis, and providing escalation support
• Experience scripting with Python, Perl, Bash or PowerShell
• 1+ years of non academic experience in any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience

• Currently pursuing Bachelor's or Master's in Computer Science or related field. 
• Proficiency in at least one of the following programming languages: Golang, Python, or JavaScript, along with familiarity with common development frameworks and tools. 
• Curiosity towards new technology and outstanding ability to analyze and solve problems. 
• Practical experience working with genAI/LLM systems, AI agents, and related data processing workflows