Basic Qualifications:
Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams
Ability to mentor and grow a group of other Software Engineers
Ability to lead projects with several cross-org dependencies and design complexities
Large-scale training using data structures and algorithms
Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
Preferred Qualifications
PhD or equivalent in Computer Science, Engineering, Mathematics or related field
8+ years of experience in professional software development experience, developing and deploying systems in production environments
Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
Anomaly Detection Techniques
Deep Learning
Scalable ML architecture
Feature management
Causal ML
Reinforcement learning
Anticipated base 250-280k + bonus + equity and comprehensive benefits
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