Research Engineer
Tasks
- Analyze eval results with error breakdowns
- Audit datasets for errors and leakage
- Collaborate on data specs and edge cases
- Define data rubrics and boundary cases
- Design and build RL environments
- Design and build datasets
- Design and run model evaluations
- Design dataset documentation and data cards
- Generate and augment synthetic data
- Implement validation and filtering pipelines
- Review and improve annotated data outputs
- Run fine tuning or RL experiments
- Translate research goals into data requirements
Perks/Benefits
- 5 days per week working
- Collaborative team
- Flexible working hours
- Remote work
- Supportive work environment
Skills/Tech-stack
Ablation Studies | Code review | Data Curation | Data Validation | Data denoising | Data leakage | Data leakage detection | Debugging | Deduplication | Deep learning | Document Understanding | Evaluation | Fine Tuning | Language Models | Leakage detection | Long Horizon Planning | Machine Learning | Multimodal Learning | OCR | Python | RLAIF | RLHF | Reinforcement Learning | Reward Functions | Reward Modeling | SQL | Synthetic data | Tool use | Trajectory analysis | Unit Testing | Verifier Training | Vision Language Models | Vision-language
Education
N/A
Roles
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