Machine Learning Engineer
Tasks
- Automate data collection and validation with minimal human in the loop
- Build and operate agentic workflows for data collection validation and maintenance
- Collaborate to ship production ML components
- Design and maintain NLP pipelines
- Evaluate and integrate frontier models for production use
- Extract classify and enrich structured knowledge from unstructured web content
- Own system lifecycle from design through deployment monitoring and iteration
Perks/Benefits
- Complimentary lunches
- Donation-matching program
- Family formation benefits
- Flexible time off
- Fully stocked kitchens
- Paid volunteer time off
- Professional development reimbursement
- Wellness programs
Skills/Tech-stack
Agentic Workflows | Data Pipelines | Entity Extraction | Entity Resolution | Inference infrastructure | Knowledge graphs | LLM Evaluation | Language Processing | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Production Monitoring | Retrieval-Augmented Generation | Web Crawling
Education
N/A
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