Job Description
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.
- Experience with large-scale training using data structures and algorithms.
- Familiarity with modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning).
Qualifications:
- PhD or equivalent in Computer Science, Engineering, Mathematics, or related field.
- 8+ years of professional software development experience, developing and deploying systems in production environments.
- Experience with machine learning software such as TensorFlow, PyTorch, Caffe, Scikit-Learn, or Spark MLLib.
- Ability to mentor and grow a group of other Software Engineers.
- Knowledge of anomaly detection techniques.
- Experience with deep learning.
- Understanding of scalable ML architecture.
- Experience with feature management.
- Familiarity with causal ML.
- Knowledge of reinforcement learning.
Compensation: Anticipated base 250-280k + bonus + equity and comprehensive benefits.
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