Are you excited by applying machine learning to solve real-world problems?
Have you experienced analyzing and modeling huge amounts of text, links, and other types of data?
Our R&D group is utilizing machine learning technology to various business areas with wide ranging exciting projects in the field of natural language processing.
Analyze and extract relevant information from large amounts of our business data to improve our existing systems and our user's experience.
Work closely with software engineering teams to drive new feature creation.
Prototype machine learning models by using high-level modeling languages such as R or in languages such as Python with Tensorflow or PyToarch.
Bachelors degree in Machine Learning, Computer Science, related field, or equivalent experience.
1+ years’ experience building machine learning models and coding, experience building, iterating, and validating models. Limited professional experience may be considered if candidate can demonstrate a deep interest and core understanding of machine learning principles including neural networks.
Experience with Tensorflow / PyToarch or other comparable computational framework.
Proficiency in Python required.
Deep understanding of current applied machine learning techniques specifically applications involving RNNs, CNNs, and reinforcement learning.
Quali.fitis enabling recruiting agencies to manage their own branded marketplace – and empower their clients with a cutting-edge self-service technology.