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Lead Data Scientist / Machine Learning Engineer – Knowledge Graph & Agentic AI

💼 Full-time🗓 2026-06-25 → 2026-09-12

Core

Foundational hire to define and build River's personal data graph and next-generation agentic AI systems, enabling the platform to understand, connect, and reason over user data at scale.

Role type

Lead Data Scientist / Machine Learning Engineer (Knowledge Graph & Agentic AI)

Builds

River's personal data graph, agentic AI systems (Rivera), consent infrastructure (River Source), and social platform data valuation models.

Domain

Consumer AI, Knowledge Graphs, Agentic AI, Data Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Knowledge graph construction, entity resolution, graph-based ML (GNNs, embeddings), NLP (NER, semantic similarity, intent classification), agentic AI architectures (multi-agent systems, tool use, planning), vector databases, reinforcement learning, hybrid search architectures, explainable AI, A/B testing infrastructure.

Preferred skills

Experience with large-scale data normalization across heterogeneous sources, ontology development, multi-agent preference aggregation, real-time trend analysis.

Technologies

Graph databases, Vector databases (pgvector, Pinecone), NLP frameworks, Reinforcement Learning libraries, Multi-agent orchestration frameworks.

Responsibilities

Designing and evolving the personal data graph (schemas, relationship models, enrichment pipelines); Building and maintaining data taxonomies; Cleaning, normalizing, and structuring noisy data from diverse platforms; Advancing NLP capabilities for context understanding; Building agentic AI systems for autonomous workflows; Developing AI-powered data ingestion for enterprise consent infrastructure; Creating data valuation metrics for user compensation; Designing reinforcement learning systems for personalized recommendations; Implementing hybrid search architectures; Building multi-agent preference aggregation models; Creating explainable AI components; Defining and measuring success via evaluation frameworks and A/B testing.

Seniority

Lead, hands-on IC with team ownership

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