Remote Natural Language Processing engineer jobs

AI Startup

San Francisco, CARemote OKFull-time$140k – $220k / year

About this role

Remote NLP Engineer Jobs | Turing Jobs Remote Natural Language Processing engineer jobs We, at Turing, are looking for talented remote Natural Language Processing (NLP) engineers who will be responsible for transforming natural language data into useful features using NLP techniques. Get a chance to work with top Silicon Valley companies and rise quickly through the ranks. Apply as NLP engineer Find remote software jobs with hundreds of Turing clients Job description Job responsibilities - Select appropriate annotated datasets for supervised learning methods - Use effective text representations to transform natural language into useful features - Find and implement the right algorithms and tools for NLP tasks - Design and develop NLP systems as per the requirements - Train the developed model and run evaluation experiments - Perform statistical analysis and refine models - Extend ML libraries and frameworks to apply in NLP tasks - Stay updated in the rapidly changing field of AI and ML Minimum requirements - Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience) - 3+ years of experience as an NLP or Machine Learning engineer (rare exceptions for highly skilled developers) - Extensive knowledge of NLP techniques and algorithms - Experience working on text representation, semantic extraction techniques, data structures, and modeling - Experience with back-end technologies such as Python, Java, and R - Working knowledge of machine learning frameworks (like Keras or PyTorch) and libraries - Familiarity with big data frameworks such as Spark and Hadoop - Knowledge of text representation techniques, statistics, and classification algorithms - Fluent in English to communicate effectively - Ability to work full-time (40 hours/week) with a 4-hour overlap with US time zones Preferred skills - Familiarity with machine translation and compilation - Knowledge of CI/CD pipelines, syntactic, and semantic parsing

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