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Machine Learning Research Engineer
Skills
Artificial IntelligenceMachine LearningNatural Language ProcessingOpen-Source SoftwarePytorchSpeechSpeech Recognition
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
