AI Summary
Build and refine models that extract structure from live data streams and power the knowledge graph. Partner with data and quant teammates to align signals, models, and downstream decisions. Maintain continual learning pipelines that adapt as new data arrives.
Key Highlights
Fine tune language models for structured output
Maintain continual learning pipelines
Partner with data and quant teammates
Key Responsibilities
Fine tune language models for structured output
Maintain continual learning pipelines
Partner with data and quant teammates
Technical Skills Required
Benefits & Perks
Remote work
ESOP based
Work from anywhere
Nice to Have
SpaCy
Neo4j
Pinecone
Job Description
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AI / ML Engineer
NLP, continual learning, retrieval systems
Build and refine models that extract structure from live data streams and power the knowledge graph.
Remote first | ESOP based | For builders only
What you will own
- Fine tune language models for structured output including triplets and relationships.
- Maintain continual learning pipelines that adapt as new data arrives.
- Partner with data and quant teammates to align signals, models, and downstream decisions.
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- Python, PyTorch, TensorFlow
- Transformers, SpaCy, Neo4j, Pinecone
- Experience with NLP, knowledge graphs, or research grade experiments
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Remote work on your schedule. Progress and clarity matter more than hours logged.
Key points for every role
- Work from anywhere. Set your own hours as long as output stays sharp.
- Compensation is equity first. Cash turns on once revenue follows.
- Curiosity and consistency beat titles. Show us how you think and what you built.
- These are live projects, not academic exercises.
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