Machine Learning Engineer
Tasks
- Analyze model performance to identify continuous improvement areas
- Build scalable machine learning pipelines for data processing and model deployment
- Collaborate with engineers and researchers to integrate models into production
- Curate synthesize training and testing data and automate processing pipelines
- Customize and integrate speech synthesis systems into production environments
- Design train evaluate optimize machine learning models for speech and language processing
- Fine tune large language models and align models for improved performance
- Implement evaluation frameworks for translation scenarios
- Maintain code quality reproducibility and technical documentation
- Prototype experiment and publish research results
- Support cross functional projects to deliver AI solutions to market
Perks/Benefits
- Community involvement support
- Employee wellbeing support
- Hybrid work
- Work-life balance
- Workplace culture programs
Skills/Tech-stack
C++ | Deep learning | Distributed Training | GPU Computing | Human Feedback | JAX | Java | Language Models | Language Processing | Large Language Models | Machine Translation | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Speech Recognition | Speech synthesis | TensorFlow
Education
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