Handshake AI Research Intern, Summer 2026
Tasks
- Build multilingual benchmarks
- Create archive ready research manuscripts
- Design active learning loops
- Develop LLM post-training pipelines
- Estimate data value
- Evaluate large language models
- Generate synthetic data
- Implement low resource fine tuning strategies
- Improve model robustness diagnostics
- Run preference studies
- Train and experiment with LLMs
Perks/Benefits
Skills/Tech-stack
Active Learning | Benchmarking | Data selection | DeepSpeed | Distributed Training | Fine Tuning | Human Feedback | JAX | Language Processing | Learning from Human Feedback | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompting | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Robustness Testing | Synthetic data
Education
Roles
Regions
Countries
States
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