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 【Apple】

职位：Machine Learning Engineer

行业分类：Consumer electronics, Software services

公司规模：164,000人

工作地点：Santa Clara Valley (Cupertino), California, United States

职位要求：

• Positive and respectful attitude in a diverse environment.
• Strong background data science and machine learning.
• Ability to efficiently develop, debug and support new technologies in a changing environment.
• Excellent collaborative skills, with strong written and verbal communication.

• MS or PhD in Computer Science or related experience.
  

• Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.

• Strong machine learning background with solid engineering capabilities. Proficiency in at least two of Linux, Hadoop, Hive, Spark, Storm. Proficiency in modern machine theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.

• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

• [optional] PhD degree in computer science or statistics. Publications in top academic conferences on relevant machine learning topics about social communities and content platforms (e.g. botnet, interest group mining, fraud detection).

• [optional] 2+ years of industry experience (internship included) in machine learning applications. Strong coding (backend, infra, algo) skills and system design ability.

• [optional] Strong industry experience justifying great product and/or data science analytical senses.

  
  

行业分类：Artificial intelligence, Advertising, Cloud computing, Computer software, Computer hardware, Internet

公司规模：139,995人

• Bachelor’s degree in Human-Computer Interaction, Computer Science, Information Science, Statistics, Ergonomics, Neural Science, a related field, or equivalent practical experience.
• Experience with quantitative research design utilizing various methods (e.g., descriptive statistics, multivariate data visualization, multivariate regression, bootstrap methods, logs analytics, and text analytics).
• Experience in Stata, C++, R, or Python.

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