Sentra
Machine Learning Research Scientist
About this role
Sentra is looking for a Machine Learning Research Scientist to develop systems that enhance organizational intelligence through advanced memory infrastructure. The role involves addressing key challenges in knowledge representation, temporal reasoning, and semantic compression, ultimately predicting events based on complex data patterns.
What you'll do
- Build LLM-powered information extraction pipelines for unstructured data.
- Develop memory consolidation algorithms to validate and merge data.
- Design dynamic temporal knowledge graph architectures.
- Create systems for complex causal queries regarding organizational processes.
- Research lossy semantic compression for efficient long-term memory.
- Publish research findings to contribute to the knowledge community.
What they're looking for
- 5+ years in machine learning, NLP, or related fields.
- Deep knowledge of knowledge graphs and temporal reasoning.
- Strong foundation in information extraction and entity resolution.
- Proficiency in Python and ML frameworks, especially PyTorch.
- Experience with academic publishing and innovative architectures.
- Ability to implement research in practical applications.
Benefits
- Base salary of $150,000 – $300,000.
- Equity options (0.3% - 2%).
- Comprehensive health coverage.
- $2,500/month wellness stipend.
- Latest hardware and development tools provided.
- Budget for learning and professional development.
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Sentra
Sentra builds advanced memory infrastructure and organizational intelligence systems that leverage machine learning to enhance knowledge representation and semantic understanding. The company is hiring Machine Learning Research Scientists to develop systems capable of temporal reasoning and event prediction from complex data patterns.
- Website
- sentra.ai