Senior Research Engineer, ML Lead, Health Frontiers
Tasks
- Assess real world utility
- Build evaluation frameworks
- Design experimental studies
- Design machine learning models
- Detect data leakage
- Develop automated research agents
- Evaluate machine learning models
- Execute computational experiments
- Generate hypotheses
- Own experimentation loop
- Provide technical leadership
- Run quantitative evaluations
- Test calibration
- Test generalization
- Train machine learning models
- Translate research questions into endpoints
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Causal Inference | Data Pipelines | Distributed Training | Evaluation | GPU | JAX | Machine Learning | Metrics | Model Optimization | PyTorch | Scientific study | Scientific study design | Series modeling | State Space Models | State-Space | Study design | TPU | TensorFlow | Time Series | Time Series Modeling | Training dynamics | Transformers
Education
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