AI Research Engineer
Seattle, Washington, United States; South San Francisco, California, United States
USD 190K-280K Mid-level Full Time
Tasks
- Build agentic AI systems for biomedical reasoning
- Build scalable pipelines for biological data
- Collaborate with computational and experimental teams to iterate
- Combine structured and unstructured data in scalable environments
- Design machine learning systems for therapeutic discovery
- Develop LLM based literature and dataset synthesis
- Develop production ready systems for scientific workflows
- Explore emerging AI techniques to improve model performance
- Integrate biological datasets into end to end workflows
- Integrate external tools into autonomous workflows
- Train evaluate and deploy machine learning models
Perks/Benefits
- Diversity and inclusion initiatives
- Flexible work environment
- Friendly work environment
- Professional development
Skills/Tech-stack
Agentic AI | Clinical data | Data Pipelines | Data integration | Deep learning | Foundation Models | Genomics | Information Retrieval | JAX | LLM orchestration | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Model Training | PyTorch | Python | TensorFlow | Transcriptomics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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