Machine Learning Scientist — Agentic data pipelines
Tasks
- Build LLM pipelines for data cleaning and normalization
- Design agentic data acquisition systems
- Develop scalable data processing systems
- Document data provenance and quality metrics
- Evaluate agent architectures and prompting strategies
- Implement automated quality control workflows
- Monitor and maintain production data pipelines
Perks/Benefits
- 401k matching
- Dining
- Flexible spending accounts
- Healthcare
- Onsite gym
- Remote work
- Uncapped vacation
- Voluntary life insurance
Skills/Tech-stack
AWS | Agent Orchestration | Biomedical Data | ChEMBL | Data Engineering | Data Normalization | Data Validation | Data cleaning | Data formatting | Data provenance | Docker | ETL | FAST A | Kubernetes | LLM APIs | Language Models | Large Language Models | Multimodal Data | Orchestration | PDB | Pandas | Prompt engineering | Python | Quality Control | Tool use | UniProt
Education
Regions
Countries
States
Cities
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