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2020 Machine Learning Scientist/Engineer #Apple (US)全职申请已开放!

最新!Apple(US)已开放
2020 Machine Learning Scientist/Engineer
感兴趣的同学速来投递!
– 1 –
公司及岗位详情
苹果公司(Apple Inc. )是美国一家高科技公司,选2019《财富》世界500强、2019福布斯全球数字经济100强榜第1位。
2020 Machine Learning Scientist/Engineer

Job Description
  • As a member of a machine learning team at Apple, you will use your deep understanding of machine learning and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products
  • You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives
  • You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences
Qualifications
  • PhD,  MS, or BS in Machine Learning, Computer Science, or related fields
  • Strong background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, speech, search/IR, optimization, deep learning, reinforcement learning, time series, generative models, signals, computer graphics fields, and distributed systems
  • Knowledge of common ML frameworks
  • A passion for making ML methods robust and scalable
  • Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions
  • Ability to explain and present analyses and machine learning concepts to a broad technical audience
  • Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy
  • Creative, collaborative, and innovation focused
Location
  • Santa Clara Valley (Cupertino), California, United States

Deadline
  • Ongoing
– 2 –
申请方式
Online Application
https://jobs.apple.com/en-us/details/200138000/machine-learning-scientist-engineer-aaai-2020
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