Senior AI Scientist
Tasks
- Calibrate model performance and analyze subgroups
- Collaborate with clinicians on model success criteria
- Compare against closed source baselines
- Conduct preference tuning and RLHF RLAIF
- Curate training datasets from clinical data
- Design and validate novel model architectures
- Lead fine tuning and post training
- Own medical modeling roadmap
- Perform SFT and PEFT training
- Recommend fine tuning distillation or build strategy
- Run continued pre training and distillation
- Run rigorous model evaluation and ablation
- Sample label deduplicate and ensure train test hygiene
- Stay current with ML literature
- Survey open source model landscape
- Track experiments and ensure reproducible configs
- Train and evaluate on single node and multi GPU
Perks/Benefits
- 401k contributions
- Company covered preventive health screenings
- Continuing medical education CME CEU support
- Fertility and family planning
- Fitness perks
- Flexible time off
- Health and wellness benefits
- OneMedical membership
Skills/Tech-stack
Ablation Studies | Adapters | Calibration | Continued Pretraining | DPO | Data loading | Deep learning | Distillation | Distributed Training | Efficient Data Loading | Experiment tracking | Hugging Face | Hugging Face Datasets | Hugging Face Transformers | LoRA | MLflow | Machine Learning | Mixed Precision | Multimodal Learning | PEFT | PyTorch | Python | QLoRA | RLAIF | RLHF | WandB
Education
Roles
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