Senior Machine Learning Research Scientist
Tasks
- Build multimodal data fusion methods
- Create self supervised pre training tasks
- Curate datasets and manage experimental design
- Deploy machine learning models into production
- Develop graph based algorithms for disease and procedure classification
- Develop methods to explain and summarize diagnostic classifications
- Develop retrieval attribution and hallucination detection strategies
- Evaluate baseline models
- Implement new machine learning methods
- Lead machine learning research
- Monitor production model impact
- Perform long sequence language modeling
- Post train large language models on proprietary clinical data
- Select training data sources using data centric AI
Perks/Benefits
- 401k match
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Remote-first team
- Unlimited PTO
Skills/Tech-stack
AWS SageMaker | Apache Airflow | CUDA | Data parallelism | Distributed Training | GitHub | Graph Neural Networks | Hallucination detection | HuggingFace Transformers | JAX | Kubernetes | Language Modeling | Language Models | Large Language Models | Long Sequence Language Modeling | Microsoft DeepSpeed | Multimodal Learning | Neural Networks | PyTorch | Python | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Slurm | Snowflake | Supervised Learning | Tensor Parallelism | Triton
Education
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