Machine Learning Engineer
Tasks
- Align language models
- Automate data processing pipelines
- Build speech synthesis systems
- Build speech-to-text systems
- Curate training data
- Deploy machine learning models
- Design machine learning models
- Develop machine learning pipelines
- Evaluate machine learning models
- Experiment with deep learning techniques
- Fine-tune language models
- Implement evaluation frameworks
- Integrate models into production
- Maintain code quality and documentation
- Optimize machine learning models
- Prototype machine learning research
- Publish research results
- Train large language models
- Train machine learning models
Perks/Benefits
- Community support
- Hybrid work
- In-person work
- Remote work
- Work-life balance
- Workplace wellbeing support
Skills/Tech-stack
C# | C++ | Data Processing | Deep learning | Distributed Systems | Fine Tuning | GPU Training | Human Feedback | JAX | Java | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Translation | Model Alignment | Multimodal Learning | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning with Human Feedback | Speech Recognition | Speech Translation | Speech synthesis | TensorFlow
Education
Regions
Countries
States
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