Senior Machine Learning Research Scientist
Tasks
- Align large language models with clinical data
- Curate datasets and design experiments
- Deploy models into production
- Develop and evaluate proposed algorithms
- Develop graph based algorithms for disease and procedure classification with few or no labels
- Develop methods to explain and summarize diagnostic classifications
- Develop multimodal data fusion methods
- Develop retrieval attribution and hallucination detection strategies
- Develop self-supervised pre-training tasks
- Implement new machine learning methods and baseline models
- Lead machine learning research and development
- Monitor production model impact
- Perform long sequence language modeling
- Post-train large language models
- Select data sources for training data centric AI
Perks/Benefits
- 10 holidays
- 401k match
- Medical/Dental/Vision
- Minimal bureaucracy
- Paid parental leave
- Remote-first team
- Unlimited PTO
Skills/Tech-stack
Apache Airflow | CUDA | Data Curation | Deep learning | DeepSpeed | Distributed Training | Experimental Design | GitHub | Graph Algorithms | HuggingFace Transformers | Inference Optimization | JAX | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLOps Monitoring | Machine Learning | Model Deployment | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | SageMaker | Self-Supervised Learning | Self-supervised | Slurm | Snowflake | Supervised Learning
Education
N/A
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