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Machine Learning Research Engineer

Skills
Artificial IntelligenceMachine LearningNatural Language ProcessingOpen-Source SoftwarePytorchSpeechSpeech Recognition
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Prior experience of at least 2 years applying ML/DL in a production environment
  • BS in Computer Science, Machine Learning, or related fields. MS/PhD is strongly preferred
  • Prior experience with PyTorch
  • Familiarity with Fairseq/Transformer frameworks
  • Candidates with publications/open source projects in the space are strongly preferred
  • The ability to pass a rigorous coding interview
  • Expertise in at least one of the following facets of ML/AI - Text summarization, Speech recognition, and Natural language understanding

Nice to have

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Open-Source Software
  • Pytorch
  • Speech
  • Speech Recognition

Day to day

  • Develop and implement cutting-edge AI technologies, focusing on real-time inference, scalability, and enhancing Conversational AI systems
  • Leverage state-of-the-art algorithms in NLP
  • Design and implement new techniques into production
  • Develop techniques to optimize and improve model performance and inference
  • Perform error analysis to improve models
  • Build data pipelines to continuously improve model performance