AIML - Applied Research Engineer, Machine Translation
Tasks
- Apply reinforcement learning from human feedback
- Apply supervised fine tuning
- Build end-to-end model development pipelines
- Deploy models to production
- Evaluate model performance
- Generate synthetic training data
- Improve machine translation model quality
- Perform group preference optimization
- Process large scale training data
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | C++ | Cloud platform | Dask | Data Generation | Data collection | Deep learning | Fine Tuning | Google Cloud | Google Cloud Platform | Group Preference Optimization | Human Feedback | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Machine Translation | Natural Language | Natural Language Processing | Preference Data Collection | Preference data | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Sequence to sequence | Spark | Supervised Fine Tuning | Synthetic Data Generation | Synthetic data | Web Services
Education
Regions
Countries
States
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