精選MLE崗位|Apple、Netflix、JaneStreet持續熱招!

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【Apple】

職位AIML – Machine Learning Educator
行業分類:Consumer electronics, Software services
公司規模:164,000
工作地點:Cupertino, California, United States
職位要求:
  • Proficiency in core industry ML model types, ML frameworks, and Python
  • Strong instructional design and delivery skills—you know how to turn technical depth into clear, engaging education
  • Experience developing and delivering ML training for technical audiences of all skill levels
  • Comfortable navigating ambiguity and evolving priorities
  • Bachelor's Degree in Computer Science, Software Engineering, or 6+ equivalent experience
職位申請連結(請直接複製至瀏覽器開啟)
https://jobs.apple.com/en-us/details/200599337/aiml-machine-learning-educator?team=MLAI
Netflix

職位Machine Learning Engineer 5 – Ads Platform Engineering
行業分類Technology & Entertainment industry, mass media
公司規模:12,800
工作地點:USA – Remote
職位要求:
  • BA/BS in accounting, finance, business administration, or similar degree and/or equivalent combination of education and experience.
  • 2+ years of related experience required, preferably in residuals. New Media residuals experience is a plus.
  • Entertainment industry experience preferred.
  • Strong financial analysis and modeling skills, with the ability to problem-solve effectively.
  • Excellent Excel & Google web-based program skills.
  • Excellent communication and presentation skills, both verbal and written
  • Must be able to comprehend and interpret collective bargaining agreements.
  • Highly motivated, analytical, proactive, organized, and self-sufficient.
  • Capable of planning and managing multiple projects simultaneously.
  • Must be able to work independently and cross-functionally with business partners.
  • Flexible and adaptable to evolving processes in a fast-paced environment.
職位申請連結(請直接複製至瀏覽器開啟)
https://explore.jobs.netflix.net/careers?pid=790302428788&domain=netflix.com&sort_by=new
Jane Street
職位Machine Learning Engineer
行業分類:Proprietary trading firm
公司規模:2,000+
工作地點:New York
職位要求:
  • Practical experience working on real-world ML problems
  • Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
  • A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
  • A passion for keeping up with the state-of-the-art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
  • A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
  • Expertise wrangling an ML framework—we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow, or others
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools
職位申請連結(請直接複製至瀏覽器開啟)
https://www.janestreet.com/join-jane-street/position/7967227002/
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