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.
MUST-HAVE REQUIREMENTS
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.
Bonus skills
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).
COMPENSATION AND BENEFITS
Base Salary: $150,000 – $300,000
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.
