Senior Deep Learning Researcher, ASR (PhD)

AssemblyAI is growing quickly, and we’re searching for a Deep Learning Researcher to. With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team! In this role you’ll have the opportunity to:Continually push the state of the art in speech recognition and NLP. You will conduct cutting edge deep learning research in speech and NLP. Our ASR models already outperform companies like Google, AWS, and Microsoft - and we’re looking for the best deep learning engineers and researchers to help us continually push the state of the art in speech recognition to get to human level performance.Research & train AssemblyAI’s deep learning models. You will work with large scale data sets to research and train deep learning models for speech recognition. You will research and develop novel algorithms and techniques to advance the state of the art in natural language understanding. You will conduct research and experiments in order to improve accuracy of our Deep Learning ASR pipeline. You will also dig into weaknesses and failure points of our current ASR models in order to identify further areas for improvement.Be part of a world-class team of creative researchers & engineers. You will help strengthen the position of AssemblyAI as a leading company in AI research. Our deep learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. You will also work with the broader speech recognition team as we continually strive to match human level accuracy. RequirementsPhD in computer science, machine learning, or similar field1-3+ years of professional experience in Deep Learning research & development2+ years of experience with PyTorch or TensorFlowIn-depth experience with Asynchronous (async) speech recognitionWav2Letter++, Wav2vec, CTC, RNNTs, and/or LASTrack record of publications at Speech Processing/NLP conferences (ACL, EMNLP, ICASSP, INTERSPEECH, ICLR, NeurIPS, and others)Preferred Experience (any of the following)Experience with Google JAXExperience with Reinforcement LearningExperience training large models on multiple GPUsSpeaker diarizationMultilingual speech recognitionReal-time speech recognitionSkillsDetail-oriented, analytical, and creative problem solver with a passion for quality processesAbility to work independently, raise issues and take corrective actionA keen eye for detail Apply tot his job