Uber Senior Staff Machine Learning Engineer - 

United States, West Virginia 

862075375

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 6-years full-time Software Engineering work experience OR 10-years full-time Software Engineering work experience, WHICH INCLUDES 6-years total technical software engineering experience in one or more of the following areas:

• Programming language (e.g. C, C++, Java, Python, or Go)

• Large-scale training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)

• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib

• Note the 6-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

• Deep Learning
• Scalable ML architecture
• Feature management

Preferred:

• Causal ML
• Reinforcement learning
• Contextual bandit models
• Personalization and ranking experience

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .