Staff Machine Learning Scientist, Agentic AI
Tasks
- Apply LLM reasoning frameworks for explainable clinical rationales
- Build clinical trial matching pipelines
- Create production grade machine learning engineering standards
- Defend agentic architectures in peer reviews
- Develop genomic variant calling pipelines
- Drive cross functional alignment and technical consensus
- Ensure model transparency and scientific auditability
- Fine-tune large language models
- Generate autonomous hypotheses and tool use
- Implement multi modal foundation models for biological reasoning
- Lead technical design and deployment of multi agent systems
- Translate multi modal data into diagnostic and therapeutic insights
- Use reinforcement fine tuning
Perks/Benefits
- 401k
- Baby bonding leave
- Commuter benefits
- Dental insurance
- Disability insurance
- Employee referral program
- Fertility care benefits
- Free testing
- Life insurance
- Medical insurance
- Pregnancy leave
- Remote
- Remote USA
- Vision insurance
Skills/Tech-stack
Agent systems | Artificial Intelligence | CUDA | Cancer Genomics | Chain-of-Thought | Deep learning | Distributed Training | Fine Tuning | GPU Cluster | Genomic Variant Calling | LLM Fine-tuning | Langchain | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-Modal | Multi-Modal Modeling | NVIDIA GPU | PyTorch | RAG | React | Reinforcement Fine Tuning | Reproducible Research | Retrieval-Augmented Generation | Transformer | Variant calling | WES | WGS
Education
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