Research Engineer, Language
Tasks
- Adapt machine learning methods for distributed parallel environments
- Build experiments and evaluation pipelines
- Contribute to open source efforts
- Contribute to publications
- Define research goals informed by engineering concerns
- Design large language model methods tools and infrastructure
- Develop scalable machine learning models
- Run evaluations and organize results
- Write reusable machine learning code
Perks/Benefits
- N/A
Skills/Tech-stack
Data Processing | Deep learning | Distributed Systems | Efficient Inference | Efficient Training | Fine Tuning | GPU Computing | Generative AI | LLM Alignment | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Multilingual Modeling | Multimodal modeling | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Responsible AI
Education
Roles
Regions
Countries
States
Cities
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