Mercor
Research Engineer - Environments, Data and Post-Training
San Francisco$130k–$500kfulltimemidAdded 2 days ago
About this role
Mercor is seeking a Research Engineer to enhance language model performance through post-training and data generation methods. This role involves collaborating with researchers to design experiments and build systems that optimize LLM capabilities in real-world contexts.
What you'll do
- Develop post-training pipelines and evaluate their effectiveness
- Conduct reward-shaping experiments and improve algorithmic methods
- Assess data usability and its impact on performance benchmarks
- Create scalable data generation and augmentation systems
- Design rubrics and scoring frameworks for evaluation
- Collaborate with AI teams and experts on training data
What they're looking for
- Applied research with a focus on model evaluation
- Strong coding skills in machine learning
- Understanding of data structures and algorithms
- Familiarity with APIs and databases
- Ability to analyze model behavior and data quality
- Experience in a fast-paced research environment
- Knowledge of synthetic data generation
- Experience with LLM evaluations
Benefits
- Bi-annual performance bonuses
- Generous equity grant
- Relocation bonus up to $15k
- $10K housing bonus near the office
- $1.5K monthly meal stipend
- Free Equinox membership
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