Machine Learning Engineer
Core
Solving speech and NLP problems using advanced Deep learning and Machine Learning techniques to improve accuracy of downstream tasks like speaker diarization, speech enhancement, and automated speech recognition.
Role type
Machine Learning Engineer (Speech & NLP)
Builds
Production ML models for speech analytics and text analytics
Domain
Speech technology and Natural Language Processing
Deliverable
production ML models
Required skills
Deep Learning, Classical Machine Learning, Literature review, Python, TensorFlow, PyTorch, Caffe, Torch
Preferred skills
Advanced degree in CS, EE, ML, Math, Statistics, Physics, or Computational Linguistics
Technologies
TensorFlow, Keras, Caffe, Torch/PyTorch, Theano
Responsibilities
Model business problems into Machine Learning problems, conduct literature review to identify approaches, test and improve approaches, ship models to production
Seniority
Individual Contributor