Machine Learning Architect - Search & Knowledge Graphs

Salesforce is the world's #1 AI CRM, recently unveiling Agentforce, a suite of autonomous AI agents for service, sales, marketing, and commerce.
$224,100 - $372,900
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Architect - Search & Knowledge Graphs

Salesforce is seeking a visionary Machine Learning Architect to lead advancements in intelligent Search and Knowledge Graph solutions within our Einstein Foundation team. This role is pivotal in redefining how we enable innovative, knowledge-driven experiences across Salesforce's next-gen AI products. As an authority in Search, Knowledge Graphs, and Large Language Models (LLMs), you will drive the evolution of Salesforce's AI systems with innovative retrieval, representation, and context expansion technologies that serve millions of users globally.

The Einstein Foundation team is an interdisciplinary mix of machine learning engineers, data scientists, and software engineers working collaboratively to build adaptive, context-aware systems that elevate customer interactions and insights. The team values innovation, multi-functional collaboration, and a commitment to scaling AI-driven customer success solutions.

As a Machine Learning Architect, you will:

  • Lead the Architecture of Sophisticated Search & Knowledge Graph Solutions
  • Develop Intelligent Retrieval Pipelines
  • Optimize and Automate Search Systems
  • Collaborate Across Teams for AI-Driven Product Innovation
  • Pioneer Search and Knowledge Graph Innovations

Required Skills:

  • 15+ years in Machine Learning & Search Systems
  • Expertise in Semantic and Vector-Based Search
  • Strong Background in NLP & LLMs
  • Sophisticated Knowledge Graph Skills
  • Proficiency in Distributed Systems & ML Frameworks
  • Programming Mastery in Python & Graph-Based Frameworks

This role offers the opportunity to make a significant impact at the world's #1 CRM company, working on cutting-edge AI technologies and shaping the future of enterprise search and knowledge discovery.

Last updated 10 days ago

Responsibilities For Machine Learning Architect - Search & Knowledge Graphs

  • Lead the Architecture of Sophisticated Search & Knowledge Graph Solutions
  • Develop Intelligent Retrieval Pipelines
  • Optimize and Automate Search Systems
  • Collaborate Across Teams for AI-Driven Product Innovation
  • Pioneer Search and Knowledge Graph Innovations

Requirements For Machine Learning Architect - Search & Knowledge Graphs

Python
Kafka
  • 15+ years in Machine Learning & Search Systems
  • Expertise in Semantic and Vector-Based Search
  • Strong Background in NLP & LLMs
  • Sophisticated Knowledge Graph Skills
  • Proficiency in Distributed Systems & ML Frameworks
  • Programming Mastery in Python & Graph-Based Frameworks

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