Associate Research Scientist - Frontier Lab
Tasks
- Build machine learning prototypes and evaluation harnesses
- Build test pipelines and evaluation benchmarks
- Collaborate with interdisciplinary teams
- Communicate technical results to stakeholders
- Conduct applied machine learning research
- Design and run controlled experiments
- Develop evaluation methodologies for machine learning systems
- Perform robustness testing and uncertainty evaluation
- Publish research insights and lessons learned
- Write maintainable reproducible code and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Calibration | Compression | Data leakage | Data leakage detection | Distillation | Distribution Shift | Efficient Inference | Experiment design | Human-in-the-loop | Language Models | Large Language Models | Leakage detection | Machine Learning | Model Evaluation | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | Robustness Testing | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sensor fusion | Statistics | Supervised Learning | Synthetic data | TensorFlow | Test pipeline | Uncertainty Quantification | Vision Models | Weak Supervision
Education
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