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Machine Learning Engineer – Agentic Search & Knowledge Graphs

Salesforce|San Francisco, United StatesHybrid
$200k - $200kUSDVerified
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Job Description

ML engineer on Salesforce’s Einstein Foundation team, leading development of agentic search and knowledge‑graph solutions that power Agentforce AI agents across Salesforce’s CRM products.

Responsibilities

  • Architect and implement large‑scale search and knowledge‑graph solutions for AI agents
  • Develop hybrid retrieval pipelines combining semantic, vector, and symbolic search
  • Own the end‑to‑end lifecycle of ML features, from ideation through production
  • Collaborate with product and research to define roadmaps and best practices

Benefits

Senior‑level compensation (other Einstein DS/ML roles list ranges over $200k in base in SF)Salesforce benefits (healthcare, ESPP, 401(k), etc.)Hybrid work options in San Francisco

Category

LLM / Generative AI Engineer

Posted

11/29/2025

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