Sentra · 3 months ago
Machine Learning Research Scientist
San Francisco / Bay Area
Full-time
Onsite
Senior Level
$150K/yr - $300K/yr
5+ years expSentra is building organizational superintelligence through memory infrastructure that reasons across time, causality, and context. As a Research Scientist, you will tackle fundamental problems in knowledge representation, temporal reasoning, and semantic compression, designing and implementing systems that maintain execution state for organizations and learn predictive patterns from events.
Computer Software
Responsibilities
Build LLM-powered information extraction pipelines that process unstructured communications and text data into structured entity-relationship representations
Develop memory consolidation algorithms that validate information through multiple observations, merge duplicate entities, and prune ephemeral data
Design temporal knowledge graph architectures that model organizational execution state as living, continuously updated systems rather than static records
Create graph attention mechanisms and reasoning systems for complex causal queries about blockers, dependencies, and outcome patterns
Research lossy semantic compression using information-theoretic principles to condense event streams into query-relevant long-term memory
Design entity resolution systems handling identity evolution where entities merge, split, and transform through time
Build meta-learning systems that identify organizational patterns and recognize when current situations match historical success or failure indicators
Develop privacy-preserving cross-organizational learning using federated learning and differential privacy techniques
Publish research findings and contribute to the broader research community on knowledge graphs and organizational intelligence
Qualification
Required
5+ years building novel systems in machine learning, NLP, knowledge graphs, or related areas with evidence through publications, production implementations, or significant open-source contributions
Deep knowledge of knowledge graphs, graph neural networks, or temporal reasoning demonstrated through shipped systems and architectural exploration
Strong ML and NLP foundation, particularly in information extraction, entity resolution, or semantic representation
Proficiency in Python and modern ML frameworks (PyTorch preferred) with experience deploying models at scale
Track record of publishing research (conference papers, technical blog posts, or detailed technical documentation) and exploring novel architectures
Ability to move between theoretical investigation and practical implementation, shipping research into production
Preferred
Graph databases (Neo4j, TigerGraph, Neptune) and query optimization for large-scale graphs
Information theory, compression, or temporal data structures
Causal inference, probabilistic reasoning, or Bayesian methods
Distributed systems, stream processing, or real-time ML serving
Human memory and cognition models
Privacy-preserving ML (federated learning, differential privacy, secure multi-party computation)
Enterprise AI systems, workflow automation, or organizational software
Publications at top-tier conferences (NeurIPS, ICML, ICLR, KDD, EMNLP, ACL, WWW, SOSP, OSDI)
Benefits
Equity: 0.3% - 2% depending on level
Comprehensive Health Coverage: Medical, dental, and vision
Wellness & Productivity Stipend: $2,500/month to cover meals, transport, gym memberships, or other personal productivity needs
Hardware & Tools: Latest MacBook Pro and AI development tools (ChatGPT Pro, Claude Pro, Cursor, etc.)
Learning & Growth: Dedicated budget for conferences, courses, and professional development
Relocation Support: Available for on-site hires
Flexible Time Off Policy
Total estimated annual benefits package: ~$30K–$35K in addition to base and equity.
Company
Sentra
Sentra is your AI organizational memory system that transforms your company's collective knowledge, data and decisions into living intelligence.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase